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Data Science And Ai
escalon
Salary- $150K/Yr – $180K/Yr, Salary- $90K/yr – $120K/yr
Remote
Posted 3 weeks ago
Company Description
We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI’s incredible power to help professionals reach their full potential.
Responsibilities
- Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
- Adapt pre-trained language models to our specific domain and use cases.
- Develop and deploy state-of-the-art computer vision models for real-time applications.
- Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
- Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data
Minimum Qualifications
- Experienced in machine learning and computer vision, in research and/or production.
- Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Master’s, PhD, or equivalent industry experience.
- Strong desire to build and scale a startup from the early days.
Required skills
- Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
- Knowledge of neural networks, CNNs, and image processing techniques.
- Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
- Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
- Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
- Experience working at a startup
- Experience with real-time video analysis, object detection, and scene understanding.
- Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering, or advanced video processing.
Minimum Qualifications
- Strong desire to build and scale a startup from the early days.
- Experienced in machine learning and computer vision, in research and/or production.
- Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Master’s, PhD, or equivalent industry experience.
Required skills
- Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
- Knowledge of neural networks, CNNs, and image processing techniques.
- Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
- Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
- Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
- Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
- Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
- Peer-reviewed publications in multi-modality, large language models, continual learning and/or federated learning.
Note:
1) Role does not sponsor visa at this time.
2) Role will have option to convert full time after initial contract with generous equity.
Job Features
Job Category
AI Engineer, Data Science
Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers,…View more
Salary- $79K/yr – $125K/yr
Hybrid
Posted 3 weeks ago
Tasks
TasksTasks
We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct impact for our customers in collaboration with a diverse set of consultants and data experts.
The following topics are of specific interest:
- Executes exciting project opportunities using Data and Analytics / Data Science skills with Fortune 500 companies across different industries including Aerospace, Automotive, Transportation, Consumer Goods, and Industrial Goods
- Owns and drives individual work streams during client engagements
- Analyzes current situation and develops clear understanding and critical perspective of underlying root causes
- Design discrete optimization solutions and independently develops and implements project concepts and final deliverables, including analytics approaches from understanding the challenge to solution implementation (e.g. in the areas of mixed integer optimization and resource-constrained network optimization)
- Supports the management and responsible parties of the project
- Serves as liaison to client management team and project team
- Supports business development by creating and presenting exceptional project proposals with direct support of leadership team
- Provides ongoing project feedback and other development support to Porsche Consulting team members
Qualifications
QualificationsQualifications
Qualifications:
- Willingness to travel (traveling domestic and abroad)
- Excellent command of English, where additional language skills are a distinct advantage
- Application of advanced optimization methods (describe problem/constraint set, apply/adjust heuristics and model assessment) to process real world data and planning restrictions in a business/management context
Required Qualifications
- Bachelors’ degree from renowned institutions of higher education, and demonstrated high academic track record. Major in STEM (Science, Technology, Engineering and Mathematics).
- 7 years of total relevant professional experience; or minimum of 5 years of relevant professional experience in conjunction with a graduate degree
- Progressive experience in project management roles and proven track record delivering projects
- Demonstrable expertise in the areas of analytical methods and technologies (e.g. machine learning, optimization and operations research) and selected frameworks/software (e.g. OpenMDAO, GEKKO or Gurobi)
- 2+ years of experience in data management and analytics platforms/programming (e.g. SQL, R, Python, Tableau)
- Experience with development and implementation of strategic initiatives or transformation programs
- High level of business acumen and consultative expertise
- Comfort in working in environments with a high degree of ambiguity and having the ability to define and independently drive towards clear objectives
- Expertise in qualitative and quantitative research
- Flexibility and willingness to travel up to 80%
- Excellent verbal and written communication skills
- Ability to structure large amounts of data into a clear narrative while driving appropriate focus on key elements and leading towards a defined outcome or recommendation
- Proficient computer skills with MS Office applications
- Strong desire to mentor and assist in the professional development of colleagues
Preferred Qualifications
- MBA or graduate degree from renowned institutions of higher education
- Second language fluency in Spanish or French a plus
At a Glance
At a GlanceAt a Glance
Porsche Consulting, Inc., a wholly owned subsidiary of Porsche AG, guides internal and external clients toward operational excellence through a unique combination of proven strategies and comprehensive implementation. Our mission is to develop enthusiasm for change within our clients to help them realize lasting gains. As a leading consultancy for putting strategies into practice, we have a marked impact on the businesses we work with: measurable results, solutions in place with lasting effect, clients eager to own our approach. As consultants we think strategically and act pragmatically. We focus on people. This is how we generate competitive success.
Job Features
Job Category
Data Analyst, Data Engineer
Tasks TasksTasks We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct im…View more
Salary- $150K/Yr – $180K/Yr
Remote
Posted 3 weeks ago
Machine Learning
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
- Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
- Help drive optimization, testing, and tooling to improve quality
- Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You’ll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Job Features
Job Category
Data Analyst, Data Science, Machine Learning
Machine Learning The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. W…View more
Data Scientist
PayPal
Salary- $90K/yr – $120K/yr
Remote
Posted 3 weeks ago
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: As a member of the product analytics team, you will • Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities • Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results • Improve product experiences for 200+ million customers using data science techniques • Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis • Present findings and recommendations to senior-level/non-technical stakeholders
Job Description:
You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
You are familiar with data science and machine learning techniques to improve product experiences
You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
You are a fun-loving, adventurous team player
Role:
As a member of the product analytics team, you will
Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities
Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results
Improve product experiences for 200+ million customers using data science techniques
Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis
Present findings and recommendations to senior-level/non-technical stakeholders
Deliver actionable, data-driven insights to help understand customer behavior, launch and optimize new features, and prioritize the product roadmap Build automation
Identify key metrics, conduct rigorous explorative data analysis, create exec-facing dashboards, and build business cases that drive decision-making and business prioritization
Support multiple projects at the same time in a fast-paced, results-oriented environment
Requirements:
Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics
2-4 years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
Hands-on experience in Python or any programming is preferred.
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is $72700 to $176000
For the majority of employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
Job Features
Job Category
Data Analyst, Data Engineer, Data Science
The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pa…View more
Salary- $90K/yr – $120K/yr
Hybrid
Posted 3 weeks ago
Use Your Power for Purpose
Working with Pfizer’s dynamic engineering team, you will play a critical role in the management of manufacturing information systems to improve manufacturing success rates and ensuring zero down time.
As a Sr. Automation Engineer your knowledge and skills will contribute towards the goals and objectives of the team. Your focus and ability to meet team targets will help in completing critical deliverables. Your innovative use of communication tools and techniques will facilitate in explaining difficult issues and establishing consensus between teams.
It is your hard work and dedication that will make Pfizer ready to achieve new
milestones and help patients across the globe.
What You Will Achieve
In this role, you will:
- Contribute to the completion of projects, manage own time on agreed targets, develop plans for own projects and leads small project teams.
- Monitor, generate and complete the periodic review, validation master plan for the automation engineering program.
- Demonstrate good planning, organizing, time management and team participation skills.
- Responsible for routine and preventive maintenance work, ensure all the equipment and facilities work safely, efficiently and reliably.
- Generate and develop standard operating procedures and system support.
- Analyze operational process problems and recommend appropriate corrective and preventative actions.
- Manage change control authoring and execution.
- Participate in the site and network wide teams to provide cybersecurity alignment and direction.
- Provide 24x7x365 support of our automation systems and perform automation activities for capital and non-capital projects.
- Modify moderately complex to highly complex control logic that requires a degree of scientific and/or manufacturing process expertise.
- Mentor and guide junior staff and serve as a technical trainer, whenever necessary.
- Clearly communicate progress and issues to peers.
Here Is What You Need (Minimum Requirements)
- Applicant must have a bachelor’s degree with at least 2 years of experience; OR a master’s degree with 0+ years of experience; OR an associate’s degree with 6 years of experience; OR a high school diploma (or equivalent) and 8 years of relevant experience.
- Strong knowledge of Computerized Systems, Compliance regulations and standards
- Experience with programming industrial control systems such as DCS, PLCs, SCADA systems, Historians, or SQL Server.
- Demonstrated experience in project management to timelines and budgets
- Experience in troubleshooting issues to root cause and recommending and implementing effective corrective actions.
- Experience with writing software test plans, user requirements, and system design
- documents
- Teamwork spirit, good communication skills and training abilities
- Excellent interpersonal effectiveness and communication skills {written and oral}
Bonus Points If You Have (Preferred Requirements)
- Relevant pharmaceutical experience
- Understanding of programming, and proficiency in at least one language
- Understanding of network infrastructure, windows servers, and virtualization
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Schedule is 1st shift, Monday – Friday.
Work Location Assignment: On Premise
OTHER JOB DETAILS
- Last Date to Apply for Job: April 21, 2025
- Referral Bonus Eligibility: YES
- Eligible for Relocation Package: YES
The annual base salary for this position ranges from $80,300.00 to $133,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Job Features
Job Category
Automation Engineer, DevOps
Use Your Power for Purpose Working with Pfizer’s dynamic engineering team, you will play a critical role in the management of manufacturing information systems to improve manufacturing success rates…View more
Decision Scientist
Electronic Arts
Salary- $143K/yr – $264K/yr
Hybrid, Remote
Posted 3 weeks ago
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate results in service of our goals.
And we want you to join us. We are hiring a Decision Scientist for our CXO Fan Intelligence Data & Analytics team, reporting to the Director of Data Science & Information Architecture. This is an individual contributor role with no managerial responsibilities.
Responsibilities
- Data analysis – Identify, source, examine, clean, visualize and prep datasets for statistical analysis, perform EDA and apply statistical techniques to examine and interpret large datasets, identify trends, patterns and correlations
- Modeling – Create or apply predictive and prescriptive models to datasets and perform model fit tests
- Communication – Present complex analytical insights to Executives in business-friendly language through visual data products, reports and presentations and translate findings into their domain specific context
- Partner Cultivation – build a business network with teams outside the WWCE department to understand requirements, define problem statements and create analytical approaches to support strategic decisions
- Experimentation – design interventions based on prescriptive models and provide a plan for implementing the experiments and measure the results and finally provide recommendations for next steps
- Understanding of current challenges surrounding AI: demonstrate understanding of concepts such as AI ethics, fairness, data leakage, bias and model drift
Required Qualifications
- Master’s in Statistics, Operations Research or related field (we will consider a Bachelor’s degree in Statistics with relevant experience)
- Technical skills
- Expert in at least one Statistical Programming Language such as R or Python
- Experience with relational and distributed databases
- Experience with visualization tools such as RShiny, Streamlit, Tableau
- Soft skills
- Customer Advocate – You care what kind of experience our players are having when their games or services don’t work and you want to play your part in improving it
- Programmer – You’re an expert at writing functions and identifying the right language for the right situation
- People Analyst – You understand that your work contributes to improving people’s lives not predict when a machine is going to break down
- Learner – You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that modern technique to good use you read about last month
- Documentation Expert – You know just the right level of documentation to help yourself and the person who takes over after you understand what you did, when and why
- Teacher & Student – You are patient and can field questions from team members around better coding practices or statistics related problems but you also never stop learning and understand the industry is constantly moving and you need to keep up
- Experiment Designer – You can create up an A/B test in your sleep, but you don’t let a less than ideal A/B test set up stop you from finding some answers
- You can turn data into pictures that people understand, you can boil down 3 months of work into 3 important takeaways, and you do it all while speaking with ease to high-level executives using something like PowerPoint as your sidekick
- Other qualifications
- 2+ years of experience with at least one Statistical Programming Language such as R or Python
- 3+ years of experience with relational and distributed databases
- 3+ years of experience with AWS SageMaker and Code Versioning tools such as GitLab
- 3+ years of experience with visualization tools such as RShiny, Streamlit, Tableau
- Experience with AWS SageMaker
This role is open to candidates in Austin with a hybrid work model requiring 3 days in the office per week.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Job Features
Job Category
Data Engineer, Data Science
Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community tha…View more
Senior Security Engineer
Los Angeles Unified
Salary- $190K/Yr – $220K/Yr
Remote
Posted 3 weeks ago
We are LAUSD. We are at the forefront of innovation in public education, focused on a clear and inspiring vision of the future for all of our students as they venture forward on their journey as lifelong learners. Here, you will have the opportunity to exercise your potential in a role supporting the business of education. Our work directly contributes toward the goal of ensuring that our students graduate ready for the world – ready to thrive in college, career and life. LAUSD is the second largest school district in the nation with an enrollment of nearly 575,000 students. We serve an area totaling 710 square miles, with over 1,190 schools and educational centers, and we employ over 74,000 individuals, making us one of the largest employers in our city.
LAUSD Employees: Please be advised that all LAUSD employees must sign in to the GlobalProtect Virtual Private Network (VPN) in order to submit an application from an external network outside of an LAUSD location. For assistance with installing the GlobalProtect virtual network, please contact Information Technology Services at (213) 443-1300 or (213) 241-5200.
DEPARTMENT OR SCHOOL SITE
The District has 600+ staff members, including programmers, network engineers, and administrative staff – all of whom provide support to the Schools and most District offices in a professional, forward thinking, and challenging environment. Technologies supported range from personal systems to enterprise-wide systems and applications.
PROJECT
In LAUSD’s Information Technology Services, a Cyber Security Engineer II configures, evaluates, operates and maintains a variety of security controls and tools to perform complex Cyber Security operational tasks including developing and evaluating approaches to solving Cyber Security challenges.
BENEFITS
Insurance: Paid premiums for your choice of several medical, dental, vision, and life insurance plans.
Retirement: Membership in the California Public Employee Retirement System (CalPERS).
Vacation: Two weeks of paid vacation to start. Three weeks after five years of year-round paid service.
Paid Holidays: Up to 13 days.
JOB DUTIES/RESPONSIBILITIES
The following list includes the essential job duties/responsibilities of this classification:
- Evaluates and participates in the development of requirements for network and security technologies and devices to ensure the requirements are adequate for the District.
- Performs network security device and appliance testing, implementation, and maintenance via installation, upgrades, patches, and updates with appropriate security controls such as authentication and configuration.
- Collaborates with various IT units in the District’s vulnerability management program by performing technical scans, highlighting vulnerabilities and providing remediation to reduce risk.
- Assesses security threats posed by changes in systems architecture and dependencies.
- Collaborates with higher level engineers in the review of security architecture to identify gaps or deficiencies within the District’s network in order resolve issues or find solutions.
- Validates and configures Domain Name Server (DNS) requests by creating internal and external A records, internal and external C name aliases, and creating external TXT records.
- Analyzes and corrects security-related connectivity issues utilizing network management systems.
- Configures firewalls by creating and maintaining access list rules, creating object groups and
processing network addressing translation requests to maintain access control.
- Configures the District’s web access filter by processing requests on dashboard to ensure the functionality of the system and review dashboard for actionable items.
- Fulfills Virtual Private Network (VPN) requests by adding new users to active directory VPN groups, maintaining and configuring access lists, adding IP addresses to access list, assign software token for password generation, and review authentication logs and troubleshoot access issues.
- Recommends security solutions or enhancements to existing security solutions to improve overall
enterprise security.
- Collaborates with higher level engineers in the deployment, integration and initial configuration of all new security solutions and of any enhancements to existing security solutions.
- Researches IT security issues and industry trends to make recommendations for internal improvement.
- Performs related duties as assigned
MINIMUM REQUIREMENTS
Education:
Graduation from a recognized college or university with a bachelor’s degree in computer science or a related field. Qualifying experience in addition to that required may be substituted on a year-for-year basis provided that the requirement of a high school diploma or equivalent is met.
Experience:
Four years of recent experience in the engineering, installation, configuration, and maintenance of security devices for a large organization; such as next-generation firewalls, Virtual Private Networks, intrusion detection/prevention systems, multi-factor authentication, next-generation endpoint security, and Security Information Event Management systems.
Special:
Cisco Certified Network Professional (CCNP) Security, Cisco Certified CyberOps Professional or equivalent is required and must be kept valid during the term of employment
Any Global Information Assurance Certification GIAC certification is preferred
Information Technology Infrastructure Library (ITIL) Foundation level certification is preferable
A valid driver’s license to legally operate a motor vehicle in the state of California and the use of a motor vehicle.
DESIRABLE QUALIFICATIONS
The ideal candidate would have the knowledge of:
- Current firewall, VPN, content filtering, and intrusion detection methodologies
- TCP/IP protocols including IP addressing, subnetting and well known ports
- Knowledge of security tools such as IDS/IPS, SIEM, DLP
- Knowledge of vulnerability assessment tools including but not limited to Nessus, Nmap and Metasploit
- Risk and threat assessment processes and practices
- Malware such as worms, viruses and Trojans
- Proof of Concepts procedures and processes
- Project management techniques
The ideal candidate would also have the ability to:
- Install, configure and monitor network security devices, including firewalls, VPN, content filtering, and Intrusion Detection Systems
- Design and implement technical modifications to firewall, VPN, content filtering, and intrusion detection rule sets
- Learn characteristics of new security threats, vulnerabilities, and countermeasure techniques and technology
- Effectively communicate technical information to all levels of staff
- Maintain effective working relationships
- Identify and analyze trends related to threats
- Conduct WireShark captures
- Train and mentor staff effectively
- Maintain up-to-date detailed knowledge of the IT Security industry including awareness of new or revised security solutions, improved security processes, and the deployment of new attacks and threat vectors
ADDITIONAL POSTING INFORMATION
Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.
The Los Angeles Unified School District is committed to providing a working and learning environment free from discrimination, harassment, intimidation, abusive conduct, or bullying. The District prohibits discrimination, harassment, intimidation, abusive conduct or bullying based on actual or perceived race or ethnicity, gender/sex (including gender identity, gender expression, pregnancy, childbirth, breastfeeding/lactation status and related medical conditions), sexual orientation, religion, color, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code), ancestry, immigration status, physical or mental disability (including clinical depression and bipolar disorder, HIV/AIDS, hepatitis, epilepsy, seizure disorder, diabetes, multiple sclerosis, and heart disease), medical condition (cancer related and genetic characteristics), military and veteran status, marital status, registered domestic partner status, age (40 and above), genetic information, political belief or affiliation (unless union related), a person’s association with a person or group with one or more of these actual or perceived characteristics, or any other basis protected by federal, state or local law, ordinance, or regulation in any program or activity it conducts or to which it provides significant assistance.
Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.
Job Features
Job Category
Cyber Security
We are LAUSD. We are at the forefront of innovation in public education, focused on a clear and inspiring vision of the future for all of our students as they venture forward on their journey as lifel…View more
Salary- $250K/Yr – $300K/Yr
Hybrid
Posted 3 weeks ago
Machine Learning Engineer – AI Agent
What you can expect
Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to enhance communication and productivity solutions. We’re dedicated to advancing the frontier of AI-powered collaboration tools that can understand, reason, and act autonomously while maintaining security and trust.
About the Team
We’re seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You’ll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
Responsibilities
- Design and implement autonomous agent systems with task reasoning, planning, and execution capabilities.
- Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.
- Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.
- Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.
- Optimize model infrastructure for low latency, high throughput, and reliable context handling.
- Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.
- Implement vector storage and retrieval systems for semantic search and efficient memory management.
- Build robust testing frameworks for agent behavior validation and continuous improvement.
- Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.
What we’re looking for
- Advanced degree in Computer Science or related fields.
- 3+ years of experience in ML engineering
- Strong background in NLP and transformer architectures
- Experience with production ML systems
- Experience building autonomous agent systems
- Research experience in LLM alignment or safety
- Contributions to open-source LLM/agent projects
- Publications in NLP/ML conferences
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We’re building a strong team at Zoom, and we’re looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it’s a good fit for your career goals. We continuously review applications, so submit yours whenever you’re ready to take the next step.
Job Features
Job Category
AI Engineer, Data Science
Machine Learning Engineer – AI Agent What you can expect Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to e…View more
Gen AI Specialist
Air Products
Salary- $120K/yr – $150K/yr
Hybrid
Posted 3 weeks ago
At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability challenges. Grow with us as we embark on building tomorrow together by being the safest, most diverse and most profitable industrial gas company in the world.
Reimagine What’s Possible
We are excited to share our Digital Technology (DT) team is expanding to meet growing business needs across the world. We’re making a significant investment in our people and systems to strengthen our digital foundation, drive business optimization, and enable our growth strategies. We are seeking a Senior Data Scientist within the Digital Technology team. This role is hybrid, based at our global headquarters in Allentown, PA.
Nature and Scope
The Senior Data Scientist will work on a team of collaborative, advanced-degreed, highly knowledgeable specialists who apply Data Science to increase productivity at Air Products. You will contribute ideas to AI/ML strategy at Air Products and effectively implement improvement opportunities using AI/ML leading to business success and growth. You will also work with business partners to drive adoption of models you build. This is an exciting and rewarding position which provides exciting growth prospects and the opportunity to solve challenging business problems using your unique skills.
PRINCIPAL ACCOUNTABILITIES:
- Expert practitioner in AI/ML, Generative Artificial Intelligence, Machine Learning, Deep Learning, and related fields
- Technical individual contributor on the Data Science Team
- Learn continuously to stay current on cutting-edge AI/ML technology
- Identify and understand business problems, define data requirements, formulate, build, and communicate AI/ML solutions concisely
- Contribute to development of MLOps platform
- Bring Data Science perspective working with Product Management Team to design and create self-service solutions for business clients leveraging products built on the MLOps platform
- Foster a strong network with business and functional partners to drive AI/ML adoption
EXPERIENCE AND QUALIFICATIONS:
- Expertise using Deep Learning in applications such as image analysis
- Experience in Generative AI including Retrieval Augmented Generation using Large Language Models
- Excellent communication and interpersonal skills to act as a translator of complex technical topics to simple language with business partners
- Ability to collaborate with business partners to drive adoption
- Geographic Information Systems experience is a plus
- Ability to work independently and within a team to tackle meaningful problems
- Valid Drivers’ License and good driving record required.
What’s In It for You:
At Air Products we foster a culture of inclusion where every voice is heard, and everyone feels they belong and matter. Additionally, we offer competitive pay and great benefits for our employees. Check out some of our benefits below!
Affordable Medical, Dental and Vision Insurance (day 1 of employment)
401k with 100% vested company core AND company match (8%)
Paid Vacation, holidays, flexible holiday + sick time
Paid Parental leave (Up to 8 weeks for both parents)
Backup Child and Adult Care benefit
Many more supplemental benefits available
Air Products proudly values the skills, dedication, and leadership that Veterans bring to the table. As a Veteran-friendly organization, we actively encourage and welcome Veterans to apply for various roles within our company. We recognize the unique strengths and experiences that veterans contribute, and we foster a workplace that honors your service while providing a platform for professional growth.
We are the world’s largest hydrogen producer with over 80 years of industrial gas experience. We are hydrogen and industrial gas experts delivering safe, end-to-end solutions, investing in real, clean energy projects at scale, and driving the industry forward to generate a cleaner future.
At Air Products, we work in an environment where we put safety first, diversity is essential, inclusion is our culture, and each person knows they belong and matter. To learn more, visit About Air Products.
We offer a comprehensive benefits package including paid holidays and vacation, affordable medical, dental, life insurance and retirement plans. You will be eligible for benefits and also be 100% vested in your retirement benefits on your first day of employment.
Air Products is committed to working with and providing a reasonable accommodation to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail us at talent@airproducts.com. General application status inquiries are not answered by this mailbox rather you’ll receive an e-mail directly from our Career Center and/or the Talent Acquisition Specialist.
Job Features
Job Category
AI Engineer, Data Science
At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability ch…View more
Ai + Cybersecurity Engineer
Kreative Technologies
Salary- $150K/Yr – $180K/Yr
Remote
Posted 3 weeks ago
Position: Cybersecurity Engineer
Education: Bachelor’s degree in computer science, information systems, engineering, or a related scientific or technical discipline.
Overview:
Kreative Technologies is in search of a cyber-security engineer with extensive experience within the Department of Defense (DoD) who can work independently to perform certification and accreditation (C&A) efforts to achieve Authority to Operates (ATO) accreditations, perform risk assessments (RA) and annual reviews (AR).
Responsibilities:
- Assist in the preparation and revision of IA policy and guidance documents for specific cyber-security related technologies.
- Provide critical written and verbal analysis of systems documentation and vulnerability reports and risk assessments.
- Provide C&A support to include interpreting Security Technical Implementation Guidance (STIGs) evaluation for DoD Information Assurance Certification and Accreditation (DIACAP) and Risk Management Framework (RMF).
- Review vulnerability assessments, system security plans, and continuity of operations.
- Plan (COOP) artifacts for compliance.
- Provide input to ad-hoc requests as well as weekly and monthly project status reports.
Education/Skills/ Minimum Qualifications:
- 4+ years of direct experience with cyber security requirements (IA Controls)
- 4+ years of experience working within DoD Services or Agencies
- 4+ years of experience resolving security findings discovered on network devices and operating systems
- 4+ year C&A package review for CA/DAA making risk-based recommendations.
- Excellent oral and written communication skills
Kreative Technologies is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. Kreative Technologies does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.
Job Features
Job Category
Cyber Security, Cybersecurity Engineer
Position: Cybersecurity Engineer Education: Bachelor’s degree in computer science, information systems, engineering, or a related scientific or technical discipline. Overview: Kreative Technol…View more
Salary- $92K/yr – $144K/yr
Remote
Posted 3 weeks ago
Role Overview:
We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.
Key Responsibilities:
-
Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.
-
Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.
-
AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.
-
Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.
-
Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.
Required Qualifications:
-
Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.
-
Technical Skills:
-
Proficiency in programming languages such as Python or R.
-
Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).
-
Familiarity with cybersecurity concepts and tools.
-
Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.
-
Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.
Preferred Qualifications:
-
Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).
-
Experience: Prior experience in a cybersecurity-focused data science role.
-
Tools: Familiarity with data visualization tools like Tableau or Power BI.
Benefits:
-
Competitive Salary: Reflective of experience and industry standards.
-
Flexible Working: Options for remote or hybrid working arrangements.
-
Professional Development: Opportunities for training and certifications in AI and cybersecurity.
-
Health & Wellness: Comprehensive health insurance and wellness programs.
Job Features
Job Category
Cyber Security, Data Science
Role Overview: We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves develo…View more
Environmental Data Analyst – AI & Cybersecurity Lab Support
Accenture Federal Services
Salary- $180K/Yr – $225K/Yr
Remote
Posted 3 weeks ago
Job Summary
We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmental research labs. In this hybrid technical and scientific role, you will work closely with environmental scientists and IT professionals to collect, process, analyze, and protect critical environmental data. You will apply machine learning to uncover trends, support lab experiments with real-time data systems, and ensure that all digital data infrastructures comply with cybersecurity standards.
Key Responsibilities
1. Lab & Environmental Data Support
-
Assist researchers in collecting data from environmental monitoring devices (air, water, soil sensors).
-
Manage and maintain lab instrumentation and field equipment, including IoT-based sensor systems.
-
Organize and document experiment data using standardized lab protocols.
2. Data Science & AI
-
Preprocess, clean, and manage large environmental datasets using Python or R.
-
Develop and deploy AI/ML models to support analysis such as:
-
Climate and pollution forecasting
-
Ecosystem pattern recognition
-
Biodiversity and deforestation monitoring
-
Create interactive dashboards, visualizations, and reports to communicate insights to non-technical stakeholders.
3. Cybersecurity & Data Governance
-
Ensure the security and integrity of research data using encryption, access control, and secure storage solutions.
-
Implement cybersecurity best practices for lab systems, IoT devices, and cloud-based data platforms.
-
Collaborate with IT/security teams to monitor systems and resolve vulnerabilities.
-
Ensure compliance with data protection regulations (e.g., GDPR, HIPAA, ISO 27001).
Required Qualifications
-
Bachelor’s or Master’s degree in Environmental Science, Data Science, Computer Science, Cybersecurity, or a related field.
-
2+ years of experience in a technical role involving data analysis or lab support.
-
Proficiency in Python and/or R for data analysis and machine learning.
-
Understanding of AI/ML frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
-
Familiarity with cybersecurity principles, tools, and technologies.
-
Strong communication skills and ability to work in interdisciplinary teams.
Preferred Qualifications
-
Experience with IoT devices and sensor networks (e.g., Raspberry Pi, Arduino, MQTT).
-
Familiarity with cloud platforms (AWS, GCP, Azure) and data pipelines.
-
Knowledge of GIS or remote sensing tools.
-
Certifications in cybersecurity (e.g., CompTIA Security+, CEH, CISSP) or data science (e.g., Google Data Engineer).
What We Offer
-
Opportunity to work on real-world climate and environmental challenges.
-
A collaborative, cross-disciplinary team environment.
-
Flexible work options (remote/hybrid).
-
Professional development in AI, cybersecurity, and environmental data systems.
-
Competitive salary and benefits package.
Job Features
Job Category
Cyber Security, Data Science
Job Summary We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmen…View more
Secure Software Developer (.NET)
S&P Global
Salary- $79K/yr – $125K/yr
Hybrid
Posted 3 weeks ago
What You’ll Do (Responsibilities)
- Develop and maintain backend services and applications using .NET / C# (or similar .NET technologies).
-
Design, build and manage CI/CD pipelines (continuous integration / continuous deployment) to enable rapid and reliable delivery of software. Second Talent+2Simplilearn.com+2
-
Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools (e.g. Terraform, ARM templates, scripts). Pitch N Hire+2Expertia+2
-
Work with cloud environments — ideally Microsoft Azure (or AWS / other cloud) — provisioning, deploying and maintaining services, managing containers or virtual machines, handling scaling, networking, storage, etc. Simplilearn.com+2Accenture+2
-
Use containerization and orchestration tools (e.g. Docker, Kubernetes / AKS / equivalent) for deploying microservices or modular applications. Simplilearn.com+1
-
Integrate development, operations and possibly AI/ML workflows — e.g. helping deploy AI-powered backend services, AI-assisted tooling, or AI-driven features together with .NET microservices. (For example, “Software Engineer – .NET / AI-Assisted Tools” roles at large tech orgs.) Reddit+2Microsoft Careers+2
-
Collaborate with cross-functional teams: developers, QA, operations, maybe data/ML teams. Ensure smooth handoffs between development and operations (DevOps culture), while supporting reliability, scalability and security. Second Talent+2Simplilearn.com+2
-
Troubleshoot, debug and resolve deployment, performance, and infrastructure issues. Monitor system health, logs, and performance; implement alerting/monitoring as needed. Expertia+1
-
Write and maintain documentation for infrastructure, pipelines, deployment processes, configuration, and release procedures.
hat We’re Looking For (Qualifications & Skills)
-
Bachelor’s degree in Computer Science, Engineering, or equivalent.
-
~2–3 years of hands-on experience building .NET applications or services (C#, .NET Core / .NET 6+, ASP.NET or similar).
-
Experience or strong interest in DevOps practices: CI/CD, version control (e.g. Git), automated builds/deployments, release management.
-
Basic to intermediate knowledge of cloud platforms — ideally Azure, but AWS/GCP is also valuable. Experience with provisioning, deploying, managing cloud infrastructure.
-
Familiarity with infrastructure-as-code (IaC) tools / scripts (Terraform / ARM templates / scripting).
-
Working knowledge of containerization (Docker) and ideally orchestration (Kubernetes + cloud-managed Kubernetes / AKS / similar).
-
Basic to moderate scripting skills (e.g. PowerShell, Bash, Python) to automate tasks and workflows.
-
Understanding of software lifecycle, version control, collaboration across teams (dev, QA, ops), and DevOps culture.
-
Good communication and collaboration skills — ability to work with multiple teams (dev, QA, security, ops).
-
Bonus / desirable: interest or exposure to AI/ML — e.g. building or deploying AI-related services, integrating AI-assisted tools or features, familiarity with ML workflow or libraries (though not mandatory).
Why This Role Can Offer High Compensation (e.g. US-based $190–$220 K)
-
Companies combining .NET backend engineering + cloud-native DevOps + AI/ML deployment are dealing with high-complexity, high-impact systems — often at global scale. That makes the skillset rare and valuable.
-
Expertise in both software development and DevOps (cloud, CI/CD, IaC, containerization) is in high demand.
-
When combined with AI or AI-assisted tooling — the value and potential impact increases; companies pay premium for engineers who can bridge DevOps + software + AI stack.
-
Top tech companies (especially in US or global-remote context) often compensate accordingly for mid-level engineers with this blended skillset.
Job Features
Job Category
.NET Developer, Software Engineering
What You’ll Do (Responsibilities) Develop and maintain backend services and applications using .NET / C# (or similar .NET technologies). Design, build and manage CI/CD pipelines (continuous integrat…View more
Salary- $90K/yr – $120K/yr
Hybrid
Posted 4 weeks ago
This position will require being on-site 1 day a week, in either the Chicago or Washington, DC office. This position will support the Part D Medicare Compliance Officer. Preference will be given to candidates with experience in Medicare Programs. Designs and documents business process requirements for all related business, financial, and operational systems critical to core business functions within FEP for support of the Medicare Prescription Drug Program, and other Medicare programs. This may require the Business Analyst to research and analyze data in support of business functions, process knowledge, and systems requirements. Recommends new or improvements to existing business and operational processes and procedures. Manages projects to build a Medicare Compliance Program. Manages compliance program auditing and monitoring activities. Assists with audit readiness. This person should have 7 years’ experience in the health payer industry – Blues or FEHBP experience desirable. Experience in Medicare Program Audits or Medicare CPE Audits is desirable. Experience with Compliance Programs is preferred.
Deliverable:
· compliance training tracking
· auditing and monitoring compliance program
· monthly exclusion check monitoring
· updating policies and procedures
· drafting SOPs
· compliance hotline monitoring
· compliance program communications
· compliance committee meetings
· sharepoint folder
· compliance program workplan
· HPMS memo review and analysis
· compliance program liaison with FEP
· Medicare Compliance shared mailbox owner
· attend monthly MAPD Plan calls
· Part CD ListServ owner
· assist with Compliance Program audit readiness
Ability to Commute:
- North Chicago, IL 60064 (Required)
Ability to Relocate:
- North Chicago, IL 60064: Relocate before starting work (Preferred)
Work Location: In person
Job Features
Job Category
Data Analyst, Data Science
This position will require being on-site 1 day a week, in either the Chicago or Washington, DC office. This position will support the Part D Medicare Compliance Officer. Preference will be given to ca…View more
Fraud Detection Specialist
Snowflake
Salary- $120K/yr – $150K/yr
Remote, Toronto
Posted 4 weeks ago
Fraud Detection Specialist — Full Role Description
Role overview
A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.
Key responsibilities
-
Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
-
Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
-
Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
-
Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.
-
Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
-
Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.
-
Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
-
Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.
-
Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.
Success outcomes
-
Lower fraud losses and chargeback rates via faster, more precise interdiction.
-
Reduced false positives and better customer experience through improved scoring and tuning.
-
Clear, auditable investigations with timely, actionable reporting.
-
Proactive controls that address new fraud vectors before they scale.
Core skills and tools
-
Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.
-
Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
-
Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.
-
Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.
-
Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
-
Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.
Typical day
-
Triage and review queued alerts; prioritize high-risk cases.
-
Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
-
Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
-
Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
-
Summarize trends and recommendations for management.
Advanced/technical track (optional but valuable)
-
Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
-
Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.
-
Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.
Common fraud types
-
Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.
Career paths
-
Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.
Role variants and titles
-
Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.
Why it matters now
-
Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.
Job Features
Job Category
Cyber Security, Data Science
Fraud Detection Specialist — Full Role Description Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior,…View more
Data Science And Ai
escalon
Salary- $150K/Yr – $180K/Yr, Salary- $90K/yr – $120K/yr
Remote
Posted 3 weeks ago
Company Description
We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI’s incredible power to help professionals reach their full potential.
Responsibilities
- Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
- Adapt pre-trained language models to our specific domain and use cases.
- Develop and deploy state-of-the-art computer vision models for real-time applications.
- Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
- Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data
- Experienced in machine learning and computer vision, in research and/or production.
- Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Master’s, PhD, or equivalent industry experience.
- Strong desire to build and scale a startup from the early days.
- Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
- Knowledge of neural networks, CNNs, and image processing techniques.
- Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
- Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
- Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
- Experience working at a startup
- Experience with real-time video analysis, object detection, and scene understanding.
- Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering, or advanced video processing.
- Strong desire to build and scale a startup from the early days.
- Experienced in machine learning and computer vision, in research and/or production.
- Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Master’s, PhD, or equivalent industry experience.
- Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
- Knowledge of neural networks, CNNs, and image processing techniques.
- Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
- Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
- Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
- Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
- Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
- Peer-reviewed publications in multi-modality, large language models, continual learning and/or federated learning.
Job Features
Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers,…View more
Salary- $79K/yr – $125K/yr
Hybrid
Posted 3 weeks ago
Tasks
TasksTasks
We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct impact for our customers in collaboration with a diverse set of consultants and data experts.
The following topics are of specific interest:
- Executes exciting project opportunities using Data and Analytics / Data Science skills with Fortune 500 companies across different industries including Aerospace, Automotive, Transportation, Consumer Goods, and Industrial Goods
- Owns and drives individual work streams during client engagements
- Analyzes current situation and develops clear understanding and critical perspective of underlying root causes
- Design discrete optimization solutions and independently develops and implements project concepts and final deliverables, including analytics approaches from understanding the challenge to solution implementation (e.g. in the areas of mixed integer optimization and resource-constrained network optimization)
- Supports the management and responsible parties of the project
- Serves as liaison to client management team and project team
- Supports business development by creating and presenting exceptional project proposals with direct support of leadership team
- Provides ongoing project feedback and other development support to Porsche Consulting team members
Qualifications
QualificationsQualifications
Qualifications:
- Willingness to travel (traveling domestic and abroad)
- Excellent command of English, where additional language skills are a distinct advantage
- Application of advanced optimization methods (describe problem/constraint set, apply/adjust heuristics and model assessment) to process real world data and planning restrictions in a business/management context
- Bachelors’ degree from renowned institutions of higher education, and demonstrated high academic track record. Major in STEM (Science, Technology, Engineering and Mathematics).
- 7 years of total relevant professional experience; or minimum of 5 years of relevant professional experience in conjunction with a graduate degree
- Progressive experience in project management roles and proven track record delivering projects
- Demonstrable expertise in the areas of analytical methods and technologies (e.g. machine learning, optimization and operations research) and selected frameworks/software (e.g. OpenMDAO, GEKKO or Gurobi)
- 2+ years of experience in data management and analytics platforms/programming (e.g. SQL, R, Python, Tableau)
- Experience with development and implementation of strategic initiatives or transformation programs
- High level of business acumen and consultative expertise
- Comfort in working in environments with a high degree of ambiguity and having the ability to define and independently drive towards clear objectives
- Expertise in qualitative and quantitative research
- Flexibility and willingness to travel up to 80%
- Excellent verbal and written communication skills
- Ability to structure large amounts of data into a clear narrative while driving appropriate focus on key elements and leading towards a defined outcome or recommendation
- Proficient computer skills with MS Office applications
- Strong desire to mentor and assist in the professional development of colleagues
- MBA or graduate degree from renowned institutions of higher education
- Second language fluency in Spanish or French a plus
At a Glance
At a GlanceAt a Glance
Porsche Consulting, Inc., a wholly owned subsidiary of Porsche AG, guides internal and external clients toward operational excellence through a unique combination of proven strategies and comprehensive implementation. Our mission is to develop enthusiasm for change within our clients to help them realize lasting gains. As a leading consultancy for putting strategies into practice, we have a marked impact on the businesses we work with: measurable results, solutions in place with lasting effect, clients eager to own our approach. As consultants we think strategically and act pragmatically. We focus on people. This is how we generate competitive success.
Job Features
Tasks TasksTasks We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct im…View more
Salary- $150K/Yr – $180K/Yr
Remote
Posted 3 weeks ago
Machine Learning
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
- Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
- Help drive optimization, testing, and tooling to improve quality
- Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You’ll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Job Features
Machine Learning The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. W…View more
Data Scientist
PayPal
Salary- $90K/yr – $120K/yr
Remote
Posted 3 weeks ago
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: As a member of the product analytics team, you will • Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities • Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results • Improve product experiences for 200+ million customers using data science techniques • Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis • Present findings and recommendations to senior-level/non-technical stakeholders
Job Description:
You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
You are familiar with data science and machine learning techniques to improve product experiences
You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
You are a fun-loving, adventurous team player
Role:
As a member of the product analytics team, you will
Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities
Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results
Improve product experiences for 200+ million customers using data science techniques
Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis
Present findings and recommendations to senior-level/non-technical stakeholders
Deliver actionable, data-driven insights to help understand customer behavior, launch and optimize new features, and prioritize the product roadmap Build automation
Identify key metrics, conduct rigorous explorative data analysis, create exec-facing dashboards, and build business cases that drive decision-making and business prioritization
Support multiple projects at the same time in a fast-paced, results-oriented environment
Requirements:
Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics
2-4 years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
Hands-on experience in Python or any programming is preferred.
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is $72700 to $176000
For the majority of employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
Job Features
The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pa…View more
Salary- $90K/yr – $120K/yr
Hybrid
Posted 3 weeks ago
Use Your Power for Purpose
Working with Pfizer’s dynamic engineering team, you will play a critical role in the management of manufacturing information systems to improve manufacturing success rates and ensuring zero down time.
As a Sr. Automation Engineer your knowledge and skills will contribute towards the goals and objectives of the team. Your focus and ability to meet team targets will help in completing critical deliverables. Your innovative use of communication tools and techniques will facilitate in explaining difficult issues and establishing consensus between teams.
It is your hard work and dedication that will make Pfizer ready to achieve new
milestones and help patients across the globe.
What You Will Achieve
In this role, you will:
- Contribute to the completion of projects, manage own time on agreed targets, develop plans for own projects and leads small project teams.
- Monitor, generate and complete the periodic review, validation master plan for the automation engineering program.
- Demonstrate good planning, organizing, time management and team participation skills.
- Responsible for routine and preventive maintenance work, ensure all the equipment and facilities work safely, efficiently and reliably.
- Generate and develop standard operating procedures and system support.
- Analyze operational process problems and recommend appropriate corrective and preventative actions.
- Manage change control authoring and execution.
- Participate in the site and network wide teams to provide cybersecurity alignment and direction.
- Provide 24x7x365 support of our automation systems and perform automation activities for capital and non-capital projects.
- Modify moderately complex to highly complex control logic that requires a degree of scientific and/or manufacturing process expertise.
- Mentor and guide junior staff and serve as a technical trainer, whenever necessary.
- Clearly communicate progress and issues to peers.
Here Is What You Need (Minimum Requirements)
- Applicant must have a bachelor’s degree with at least 2 years of experience; OR a master’s degree with 0+ years of experience; OR an associate’s degree with 6 years of experience; OR a high school diploma (or equivalent) and 8 years of relevant experience.
- Strong knowledge of Computerized Systems, Compliance regulations and standards
- Experience with programming industrial control systems such as DCS, PLCs, SCADA systems, Historians, or SQL Server.
- Demonstrated experience in project management to timelines and budgets
- Experience in troubleshooting issues to root cause and recommending and implementing effective corrective actions.
- Experience with writing software test plans, user requirements, and system design
- documents
- Teamwork spirit, good communication skills and training abilities
- Excellent interpersonal effectiveness and communication skills {written and oral}
Bonus Points If You Have (Preferred Requirements)
- Relevant pharmaceutical experience
- Understanding of programming, and proficiency in at least one language
- Understanding of network infrastructure, windows servers, and virtualization
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Schedule is 1st shift, Monday – Friday.
Work Location Assignment: On Premise
OTHER JOB DETAILS
- Last Date to Apply for Job: April 21, 2025
- Referral Bonus Eligibility: YES
- Eligible for Relocation Package: YES
Relocation assistance may be available based on business needs and/or eligibility.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Job Features
Use Your Power for Purpose Working with Pfizer’s dynamic engineering team, you will play a critical role in the management of manufacturing information systems to improve manufacturing success rates…View more
Decision Scientist
Electronic Arts
Salary- $143K/yr – $264K/yr
Hybrid, Remote
Posted 3 weeks ago
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate results in service of our goals.
And we want you to join us. We are hiring a Decision Scientist for our CXO Fan Intelligence Data & Analytics team, reporting to the Director of Data Science & Information Architecture. This is an individual contributor role with no managerial responsibilities.
Responsibilities
- Data analysis – Identify, source, examine, clean, visualize and prep datasets for statistical analysis, perform EDA and apply statistical techniques to examine and interpret large datasets, identify trends, patterns and correlations
- Modeling – Create or apply predictive and prescriptive models to datasets and perform model fit tests
- Communication – Present complex analytical insights to Executives in business-friendly language through visual data products, reports and presentations and translate findings into their domain specific context
- Partner Cultivation – build a business network with teams outside the WWCE department to understand requirements, define problem statements and create analytical approaches to support strategic decisions
- Experimentation – design interventions based on prescriptive models and provide a plan for implementing the experiments and measure the results and finally provide recommendations for next steps
- Understanding of current challenges surrounding AI: demonstrate understanding of concepts such as AI ethics, fairness, data leakage, bias and model drift
- Master’s in Statistics, Operations Research or related field (we will consider a Bachelor’s degree in Statistics with relevant experience)
- Technical skills
- Expert in at least one Statistical Programming Language such as R or Python
- Experience with relational and distributed databases
- Experience with visualization tools such as RShiny, Streamlit, Tableau
- Soft skills
- Customer Advocate – You care what kind of experience our players are having when their games or services don’t work and you want to play your part in improving it
- Programmer – You’re an expert at writing functions and identifying the right language for the right situation
- People Analyst – You understand that your work contributes to improving people’s lives not predict when a machine is going to break down
- Learner – You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that modern technique to good use you read about last month
- Documentation Expert – You know just the right level of documentation to help yourself and the person who takes over after you understand what you did, when and why
- Teacher & Student – You are patient and can field questions from team members around better coding practices or statistics related problems but you also never stop learning and understand the industry is constantly moving and you need to keep up
- Experiment Designer – You can create up an A/B test in your sleep, but you don’t let a less than ideal A/B test set up stop you from finding some answers
- You can turn data into pictures that people understand, you can boil down 3 months of work into 3 important takeaways, and you do it all while speaking with ease to high-level executives using something like PowerPoint as your sidekick
- Other qualifications
- 2+ years of experience with at least one Statistical Programming Language such as R or Python
- 3+ years of experience with relational and distributed databases
- 3+ years of experience with AWS SageMaker and Code Versioning tools such as GitLab
- 3+ years of experience with visualization tools such as RShiny, Streamlit, Tableau
- Experience with AWS SageMaker
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Job Features
Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community tha…View more
Senior Security Engineer
Los Angeles Unified
Salary- $190K/Yr – $220K/Yr
Remote
Posted 3 weeks ago
We are LAUSD. We are at the forefront of innovation in public education, focused on a clear and inspiring vision of the future for all of our students as they venture forward on their journey as lifelong learners. Here, you will have the opportunity to exercise your potential in a role supporting the business of education. Our work directly contributes toward the goal of ensuring that our students graduate ready for the world – ready to thrive in college, career and life. LAUSD is the second largest school district in the nation with an enrollment of nearly 575,000 students. We serve an area totaling 710 square miles, with over 1,190 schools and educational centers, and we employ over 74,000 individuals, making us one of the largest employers in our city.
LAUSD Employees: Please be advised that all LAUSD employees must sign in to the GlobalProtect Virtual Private Network (VPN) in order to submit an application from an external network outside of an LAUSD location. For assistance with installing the GlobalProtect virtual network, please contact Information Technology Services at (213) 443-1300 or (213) 241-5200.
DEPARTMENT OR SCHOOL SITE
The District has 600+ staff members, including programmers, network engineers, and administrative staff – all of whom provide support to the Schools and most District offices in a professional, forward thinking, and challenging environment. Technologies supported range from personal systems to enterprise-wide systems and applications.
PROJECT
In LAUSD’s Information Technology Services, a Cyber Security Engineer II configures, evaluates, operates and maintains a variety of security controls and tools to perform complex Cyber Security operational tasks including developing and evaluating approaches to solving Cyber Security challenges.
BENEFITS
Insurance: Paid premiums for your choice of several medical, dental, vision, and life insurance plans.
Retirement: Membership in the California Public Employee Retirement System (CalPERS).
Vacation: Two weeks of paid vacation to start. Three weeks after five years of year-round paid service.
Paid Holidays: Up to 13 days.
JOB DUTIES/RESPONSIBILITIES
The following list includes the essential job duties/responsibilities of this classification:
- Evaluates and participates in the development of requirements for network and security technologies and devices to ensure the requirements are adequate for the District.
- Performs network security device and appliance testing, implementation, and maintenance via installation, upgrades, patches, and updates with appropriate security controls such as authentication and configuration.
- Collaborates with various IT units in the District’s vulnerability management program by performing technical scans, highlighting vulnerabilities and providing remediation to reduce risk.
- Assesses security threats posed by changes in systems architecture and dependencies.
- Collaborates with higher level engineers in the review of security architecture to identify gaps or deficiencies within the District’s network in order resolve issues or find solutions.
- Validates and configures Domain Name Server (DNS) requests by creating internal and external A records, internal and external C name aliases, and creating external TXT records.
- Analyzes and corrects security-related connectivity issues utilizing network management systems.
- Configures firewalls by creating and maintaining access list rules, creating object groups and
- Configures the District’s web access filter by processing requests on dashboard to ensure the functionality of the system and review dashboard for actionable items.
- Fulfills Virtual Private Network (VPN) requests by adding new users to active directory VPN groups, maintaining and configuring access lists, adding IP addresses to access list, assign software token for password generation, and review authentication logs and troubleshoot access issues.
- Recommends security solutions or enhancements to existing security solutions to improve overall
- Collaborates with higher level engineers in the deployment, integration and initial configuration of all new security solutions and of any enhancements to existing security solutions.
- Researches IT security issues and industry trends to make recommendations for internal improvement.
- Performs related duties as assigned
MINIMUM REQUIREMENTS
Education:
Graduation from a recognized college or university with a bachelor’s degree in computer science or a related field. Qualifying experience in addition to that required may be substituted on a year-for-year basis provided that the requirement of a high school diploma or equivalent is met.
Experience:
Four years of recent experience in the engineering, installation, configuration, and maintenance of security devices for a large organization; such as next-generation firewalls, Virtual Private Networks, intrusion detection/prevention systems, multi-factor authentication, next-generation endpoint security, and Security Information Event Management systems.
Special:
Cisco Certified Network Professional (CCNP) Security, Cisco Certified CyberOps Professional or equivalent is required and must be kept valid during the term of employment
Any Global Information Assurance Certification GIAC certification is preferred
Information Technology Infrastructure Library (ITIL) Foundation level certification is preferable
A valid driver’s license to legally operate a motor vehicle in the state of California and the use of a motor vehicle.
DESIRABLE QUALIFICATIONS
The ideal candidate would have the knowledge of:
- Current firewall, VPN, content filtering, and intrusion detection methodologies
- TCP/IP protocols including IP addressing, subnetting and well known ports
- Knowledge of security tools such as IDS/IPS, SIEM, DLP
- Knowledge of vulnerability assessment tools including but not limited to Nessus, Nmap and Metasploit
- Risk and threat assessment processes and practices
- Malware such as worms, viruses and Trojans
- Proof of Concepts procedures and processes
- Project management techniques
The ideal candidate would also have the ability to:
- Install, configure and monitor network security devices, including firewalls, VPN, content filtering, and Intrusion Detection Systems
- Design and implement technical modifications to firewall, VPN, content filtering, and intrusion detection rule sets
- Learn characteristics of new security threats, vulnerabilities, and countermeasure techniques and technology
- Effectively communicate technical information to all levels of staff
- Maintain effective working relationships
- Identify and analyze trends related to threats
- Conduct WireShark captures
- Train and mentor staff effectively
- Maintain up-to-date detailed knowledge of the IT Security industry including awareness of new or revised security solutions, improved security processes, and the deployment of new attacks and threat vectors
ADDITIONAL POSTING INFORMATION
Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.
The Los Angeles Unified School District is committed to providing a working and learning environment free from discrimination, harassment, intimidation, abusive conduct, or bullying. The District prohibits discrimination, harassment, intimidation, abusive conduct or bullying based on actual or perceived race or ethnicity, gender/sex (including gender identity, gender expression, pregnancy, childbirth, breastfeeding/lactation status and related medical conditions), sexual orientation, religion, color, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code), ancestry, immigration status, physical or mental disability (including clinical depression and bipolar disorder, HIV/AIDS, hepatitis, epilepsy, seizure disorder, diabetes, multiple sclerosis, and heart disease), medical condition (cancer related and genetic characteristics), military and veteran status, marital status, registered domestic partner status, age (40 and above), genetic information, political belief or affiliation (unless union related), a person’s association with a person or group with one or more of these actual or perceived characteristics, or any other basis protected by federal, state or local law, ordinance, or regulation in any program or activity it conducts or to which it provides significant assistance.
Selection and promotion are based on a competitive employment assessment process. Candidates who pass all parts of the assessment process are placed on a hiring (eligibility) list based on their assessment score. Hiring departments may make job offers to candidates on the top three ranks of the hiring list. Eligibility typically lasts for 12 months. The hiring list resulting from this assessment process may be used to fill open positions in related job classifications.
Job Features
We are LAUSD. We are at the forefront of innovation in public education, focused on a clear and inspiring vision of the future for all of our students as they venture forward on their journey as lifel…View more
Salary- $250K/Yr – $300K/Yr
Hybrid
Posted 3 weeks ago
Machine Learning Engineer – AI Agent
What you can expect
Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to enhance communication and productivity solutions. We’re dedicated to advancing the frontier of AI-powered collaboration tools that can understand, reason, and act autonomously while maintaining security and trust.
About the Team
We’re seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You’ll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
Responsibilities
- Design and implement autonomous agent systems with task reasoning, planning, and execution capabilities.
- Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.
- Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.
- Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.
- Optimize model infrastructure for low latency, high throughput, and reliable context handling.
- Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.
- Implement vector storage and retrieval systems for semantic search and efficient memory management.
- Build robust testing frameworks for agent behavior validation and continuous improvement.
- Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.
- Advanced degree in Computer Science or related fields.
- 3+ years of experience in ML engineering
- Strong background in NLP and transformer architectures
- Experience with production ML systems
- Experience building autonomous agent systems
- Research experience in LLM alignment or safety
- Contributions to open-source LLM/agent projects
- Publications in NLP/ML conferences
Job Features
Machine Learning Engineer – AI Agent What you can expect Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to e…View more
Gen AI Specialist
Air Products
Salary- $120K/yr – $150K/yr
Hybrid
Posted 3 weeks ago
At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability challenges. Grow with us as we embark on building tomorrow together by being the safest, most diverse and most profitable industrial gas company in the world.
Reimagine What’s Possible
We are excited to share our Digital Technology (DT) team is expanding to meet growing business needs across the world. We’re making a significant investment in our people and systems to strengthen our digital foundation, drive business optimization, and enable our growth strategies. We are seeking a Senior Data Scientist within the Digital Technology team. This role is hybrid, based at our global headquarters in Allentown, PA.
Nature and Scope
The Senior Data Scientist will work on a team of collaborative, advanced-degreed, highly knowledgeable specialists who apply Data Science to increase productivity at Air Products. You will contribute ideas to AI/ML strategy at Air Products and effectively implement improvement opportunities using AI/ML leading to business success and growth. You will also work with business partners to drive adoption of models you build. This is an exciting and rewarding position which provides exciting growth prospects and the opportunity to solve challenging business problems using your unique skills.
PRINCIPAL ACCOUNTABILITIES:
- Expert practitioner in AI/ML, Generative Artificial Intelligence, Machine Learning, Deep Learning, and related fields
- Technical individual contributor on the Data Science Team
- Learn continuously to stay current on cutting-edge AI/ML technology
- Identify and understand business problems, define data requirements, formulate, build, and communicate AI/ML solutions concisely
- Contribute to development of MLOps platform
- Bring Data Science perspective working with Product Management Team to design and create self-service solutions for business clients leveraging products built on the MLOps platform
- Foster a strong network with business and functional partners to drive AI/ML adoption
- Expertise using Deep Learning in applications such as image analysis
- Experience in Generative AI including Retrieval Augmented Generation using Large Language Models
- Excellent communication and interpersonal skills to act as a translator of complex technical topics to simple language with business partners
- Ability to collaborate with business partners to drive adoption
- Geographic Information Systems experience is a plus
- Ability to work independently and within a team to tackle meaningful problems
- Valid Drivers’ License and good driving record required.
Job Features
At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability ch…View more
Ai + Cybersecurity Engineer
Kreative Technologies
Salary- $150K/Yr – $180K/Yr
Remote
Posted 3 weeks ago
Position: Cybersecurity Engineer
Education: Bachelor’s degree in computer science, information systems, engineering, or a related scientific or technical discipline.
Overview:
Kreative Technologies is in search of a cyber-security engineer with extensive experience within the Department of Defense (DoD) who can work independently to perform certification and accreditation (C&A) efforts to achieve Authority to Operates (ATO) accreditations, perform risk assessments (RA) and annual reviews (AR).
Responsibilities:
- Assist in the preparation and revision of IA policy and guidance documents for specific cyber-security related technologies.
- Provide critical written and verbal analysis of systems documentation and vulnerability reports and risk assessments.
- Provide C&A support to include interpreting Security Technical Implementation Guidance (STIGs) evaluation for DoD Information Assurance Certification and Accreditation (DIACAP) and Risk Management Framework (RMF).
- Review vulnerability assessments, system security plans, and continuity of operations.
- Plan (COOP) artifacts for compliance.
- Provide input to ad-hoc requests as well as weekly and monthly project status reports.
- 4+ years of direct experience with cyber security requirements (IA Controls)
- 4+ years of experience working within DoD Services or Agencies
- 4+ years of experience resolving security findings discovered on network devices and operating systems
- 4+ year C&A package review for CA/DAA making risk-based recommendations.
- Excellent oral and written communication skills
Job Features
Position: Cybersecurity Engineer Education: Bachelor’s degree in computer science, information systems, engineering, or a related scientific or technical discipline. Overview: Kreative Technol…View more
Salary- $92K/yr – $144K/yr
Remote
Posted 3 weeks ago
Role Overview:
We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.
Key Responsibilities:
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Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.
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Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.
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AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.
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Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.
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Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.
Required Qualifications:
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Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.
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Technical Skills:
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Proficiency in programming languages such as Python or R.
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Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).
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Familiarity with cybersecurity concepts and tools.
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Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.
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Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.
Preferred Qualifications:
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Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).
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Experience: Prior experience in a cybersecurity-focused data science role.
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Tools: Familiarity with data visualization tools like Tableau or Power BI.
Benefits:
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Competitive Salary: Reflective of experience and industry standards.
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Flexible Working: Options for remote or hybrid working arrangements.
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Professional Development: Opportunities for training and certifications in AI and cybersecurity.
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Health & Wellness: Comprehensive health insurance and wellness programs.
Job Features
Role Overview: We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves develo…View more
Environmental Data Analyst – AI & Cybersecurity Lab Support
Accenture Federal Services
Salary- $180K/Yr – $225K/Yr
Remote
Posted 3 weeks ago
Job Summary
We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmental research labs. In this hybrid technical and scientific role, you will work closely with environmental scientists and IT professionals to collect, process, analyze, and protect critical environmental data. You will apply machine learning to uncover trends, support lab experiments with real-time data systems, and ensure that all digital data infrastructures comply with cybersecurity standards.
Key Responsibilities
1. Lab & Environmental Data Support
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Assist researchers in collecting data from environmental monitoring devices (air, water, soil sensors).
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Manage and maintain lab instrumentation and field equipment, including IoT-based sensor systems.
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Organize and document experiment data using standardized lab protocols.
2. Data Science & AI
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Preprocess, clean, and manage large environmental datasets using Python or R.
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Develop and deploy AI/ML models to support analysis such as:
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Climate and pollution forecasting
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Ecosystem pattern recognition
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Biodiversity and deforestation monitoring
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Create interactive dashboards, visualizations, and reports to communicate insights to non-technical stakeholders.
3. Cybersecurity & Data Governance
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Ensure the security and integrity of research data using encryption, access control, and secure storage solutions.
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Implement cybersecurity best practices for lab systems, IoT devices, and cloud-based data platforms.
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Collaborate with IT/security teams to monitor systems and resolve vulnerabilities.
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Ensure compliance with data protection regulations (e.g., GDPR, HIPAA, ISO 27001).
Required Qualifications
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Bachelor’s or Master’s degree in Environmental Science, Data Science, Computer Science, Cybersecurity, or a related field.
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2+ years of experience in a technical role involving data analysis or lab support.
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Proficiency in Python and/or R for data analysis and machine learning.
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Understanding of AI/ML frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
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Familiarity with cybersecurity principles, tools, and technologies.
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Strong communication skills and ability to work in interdisciplinary teams.
Preferred Qualifications
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Experience with IoT devices and sensor networks (e.g., Raspberry Pi, Arduino, MQTT).
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Familiarity with cloud platforms (AWS, GCP, Azure) and data pipelines.
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Knowledge of GIS or remote sensing tools.
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Certifications in cybersecurity (e.g., CompTIA Security+, CEH, CISSP) or data science (e.g., Google Data Engineer).
What We Offer
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Opportunity to work on real-world climate and environmental challenges.
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A collaborative, cross-disciplinary team environment.
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Flexible work options (remote/hybrid).
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Professional development in AI, cybersecurity, and environmental data systems.
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Competitive salary and benefits package.
Job Features
Job Summary We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmen…View more
Secure Software Developer (.NET)
S&P Global
Salary- $79K/yr – $125K/yr
Hybrid
Posted 3 weeks ago
What You’ll Do (Responsibilities)
- Develop and maintain backend services and applications using .NET / C# (or similar .NET technologies).
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Design, build and manage CI/CD pipelines (continuous integration / continuous deployment) to enable rapid and reliable delivery of software. Second Talent+2Simplilearn.com+2
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Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools (e.g. Terraform, ARM templates, scripts). Pitch N Hire+2Expertia+2
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Work with cloud environments — ideally Microsoft Azure (or AWS / other cloud) — provisioning, deploying and maintaining services, managing containers or virtual machines, handling scaling, networking, storage, etc. Simplilearn.com+2Accenture+2
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Use containerization and orchestration tools (e.g. Docker, Kubernetes / AKS / equivalent) for deploying microservices or modular applications. Simplilearn.com+1
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Integrate development, operations and possibly AI/ML workflows — e.g. helping deploy AI-powered backend services, AI-assisted tooling, or AI-driven features together with .NET microservices. (For example, “Software Engineer – .NET / AI-Assisted Tools” roles at large tech orgs.) Reddit+2Microsoft Careers+2
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Collaborate with cross-functional teams: developers, QA, operations, maybe data/ML teams. Ensure smooth handoffs between development and operations (DevOps culture), while supporting reliability, scalability and security. Second Talent+2Simplilearn.com+2
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Troubleshoot, debug and resolve deployment, performance, and infrastructure issues. Monitor system health, logs, and performance; implement alerting/monitoring as needed. Expertia+1
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Write and maintain documentation for infrastructure, pipelines, deployment processes, configuration, and release procedures.
hat We’re Looking For (Qualifications & Skills)
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Bachelor’s degree in Computer Science, Engineering, or equivalent.
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~2–3 years of hands-on experience building .NET applications or services (C#, .NET Core / .NET 6+, ASP.NET or similar).
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Experience or strong interest in DevOps practices: CI/CD, version control (e.g. Git), automated builds/deployments, release management.
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Basic to intermediate knowledge of cloud platforms — ideally Azure, but AWS/GCP is also valuable. Experience with provisioning, deploying, managing cloud infrastructure.
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Familiarity with infrastructure-as-code (IaC) tools / scripts (Terraform / ARM templates / scripting).
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Working knowledge of containerization (Docker) and ideally orchestration (Kubernetes + cloud-managed Kubernetes / AKS / similar).
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Basic to moderate scripting skills (e.g. PowerShell, Bash, Python) to automate tasks and workflows.
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Understanding of software lifecycle, version control, collaboration across teams (dev, QA, ops), and DevOps culture.
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Good communication and collaboration skills — ability to work with multiple teams (dev, QA, security, ops).
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Bonus / desirable: interest or exposure to AI/ML — e.g. building or deploying AI-related services, integrating AI-assisted tools or features, familiarity with ML workflow or libraries (though not mandatory).
Why This Role Can Offer High Compensation (e.g. US-based $190–$220 K)
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Companies combining .NET backend engineering + cloud-native DevOps + AI/ML deployment are dealing with high-complexity, high-impact systems — often at global scale. That makes the skillset rare and valuable.
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Expertise in both software development and DevOps (cloud, CI/CD, IaC, containerization) is in high demand.
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When combined with AI or AI-assisted tooling — the value and potential impact increases; companies pay premium for engineers who can bridge DevOps + software + AI stack.
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Top tech companies (especially in US or global-remote context) often compensate accordingly for mid-level engineers with this blended skillset.
Job Features
What You’ll Do (Responsibilities) Develop and maintain backend services and applications using .NET / C# (or similar .NET technologies). Design, build and manage CI/CD pipelines (continuous integrat…View more
Salary- $90K/yr – $120K/yr
Hybrid
Posted 4 weeks ago
This position will require being on-site 1 day a week, in either the Chicago or Washington, DC office. This position will support the Part D Medicare Compliance Officer. Preference will be given to candidates with experience in Medicare Programs. Designs and documents business process requirements for all related business, financial, and operational systems critical to core business functions within FEP for support of the Medicare Prescription Drug Program, and other Medicare programs. This may require the Business Analyst to research and analyze data in support of business functions, process knowledge, and systems requirements. Recommends new or improvements to existing business and operational processes and procedures. Manages projects to build a Medicare Compliance Program. Manages compliance program auditing and monitoring activities. Assists with audit readiness. This person should have 7 years’ experience in the health payer industry – Blues or FEHBP experience desirable. Experience in Medicare Program Audits or Medicare CPE Audits is desirable. Experience with Compliance Programs is preferred.
Deliverable:
· compliance training tracking
· auditing and monitoring compliance program
· monthly exclusion check monitoring
· updating policies and procedures
· drafting SOPs
· compliance hotline monitoring
· compliance program communications
· compliance committee meetings
· sharepoint folder
· compliance program workplan
· HPMS memo review and analysis
· compliance program liaison with FEP
· Medicare Compliance shared mailbox owner
· attend monthly MAPD Plan calls
· Part CD ListServ owner
· assist with Compliance Program audit readiness
Ability to Commute:
- North Chicago, IL 60064 (Required)
- North Chicago, IL 60064: Relocate before starting work (Preferred)
Job Features
This position will require being on-site 1 day a week, in either the Chicago or Washington, DC office. This position will support the Part D Medicare Compliance Officer. Preference will be given to ca…View more
Fraud Detection Specialist
Snowflake
Salary- $120K/yr – $150K/yr
Remote, Toronto
Posted 4 weeks ago
Fraud Detection Specialist — Full Role Description
Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.
Key responsibilities
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Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
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Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
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Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
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Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.
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Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
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Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.
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Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
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Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.
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Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.
Success outcomes
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Lower fraud losses and chargeback rates via faster, more precise interdiction.
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Reduced false positives and better customer experience through improved scoring and tuning.
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Clear, auditable investigations with timely, actionable reporting.
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Proactive controls that address new fraud vectors before they scale.
Core skills and tools
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Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.
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Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
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Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.
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Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.
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Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
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Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.
Typical day
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Triage and review queued alerts; prioritize high-risk cases.
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Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
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Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
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Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
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Summarize trends and recommendations for management.
Advanced/technical track (optional but valuable)
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Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
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Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.
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Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.
Common fraud types
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Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.
Career paths
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Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.
Role variants and titles
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Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.
Why it matters now
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Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.
Job Features
Fraud Detection Specialist — Full Role Description Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior,…View more














