Currently Empty: $0.00
Find Job From Our Listing
Azure Data Engineer
Ross Stores
Salary- $120K/yr – $150K/yr
Hybrid
Posted 7 days ago
Title: Azure Data Engineer
Location: Hybrid
- Python, SQL
- DBT Experience
- Previous retail (Prev Albertsons would be great!)
- Communication is key, speaking to stakeholders
- Communication skills, explain implementation teams
- Work with functionally split within retail analytics side
- Person would be working on hub and spoke model- supply chain and merchandising
- Two domains supply chains and store sites- lead engineers do review to other on team.
GENERAL PURPOSE:
The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms.
QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
- 12 + years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries
- 5+ years proven data architecture experience – must have demonstrable experience data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)
- At least 3 years experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred
- Expert in engineering data pipelines using various data technologies – ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience
- 5+ years hands on data warehouse design, development, and data modeling best practices for modern data architectures
- Highly proficient in at least one of these programming languages: Java, Python
- Experience with modern data modelling tools, data preparation tools
- Experience with adding data lineage, technical glossary from data pipelines to data catalog tools
- Highly proficient in Data analysis – analyzing SQL, Python scripts, ETL/ELT transformation scripts
- Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required
- Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus
- Self-driven individual with the ability to work independently or as part of a project team
- Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred
- Experience with Streamsets, dbt preferred
- Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users
- Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management required
Job Features
Job Category
Data Analyst, Data Science
Title: Azure Data Engineer Location: Hybrid Python, SQL DBT Experience Previous retail (Prev Albertsons would be great!) Communication is key, speaking to stakeholders Communication skills, explain im…View more
Cloud Architect
Ulta Beauty
Salary- $120K/yr – $150K/yr
Hybrid
Posted 7 days ago
Title: Cloud Architect
Location: Hybrid
Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative
Project Name: Integration Modernization
Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)
Initiative Timeframe: Short-term (3-6 months): Focus on TIBCO, APIGEE, Kafka – Long-term (6-12 months): Additional integration tools (TBD)
Scope of Work
The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation.
Key responsibilities include:
- Security Assessment and Risk Management:
- Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
- Identify and mitigate potential vulnerabilities in cloud-based architectures.
- Ensure proper encryption and key management protocols are in place.
- Architecture and Design:
- Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
- Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
- Tool and Platform Security:
- Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
- Manage security integrations with Ulta’s identity management systems.
- Monitoring and Incident Response:
- Set up continuous monitoring for security events and anomalies across the integration platforms.
- Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
- Documentation and Knowledge Transfer:
- Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
- Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.
Resource Justification
Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization’s assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.
Skills and Experience Required
The ideal candidate will have a combination of the following skills and experience:
Technical Skills:
- Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
- Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
- API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
- Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
- Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
Job Features
Job Category
Cloud Security Engineer, Cyber Security
Title: Cloud Architect Location: Hybrid Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Key Technologies Involved: TI…View more
Deep Learning Specialist
Snowflake
Salary- $80K/yr – $100K/yr
Hybrid
Posted 7 days ago
Build the future of the AI Data Cloud. Join the Snowflake team.
Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
- Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
Job Features
Job Category
AI Engineer, Data Science
Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technic…View more
Salary- $120K/yr – $150K/yr
Hybrid
Posted 7 days ago
About Us
Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.
We are a small, growing and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company’s mission. Leadership is earned by those who show initiative and deliver excellence.
We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills.
LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.
About the Role
As an Agent Research Engineer, you will help advance the highest levels of the tech stack to imbue AI systems with true agency. Collaborating directly with our technical founder and diverse team, we will build the next generation of general learning agents. Possessing and maintaining a wide, deep and holistic knowledge base of cutting-edge research is crucial for advancing the mission. Many are called, but few are chosen.
- Full-Time
- On-site at either our SF or LA offices
Tech Stack
Python, Engrish, LLMs, ANNs, C++/Cuda
Ideal Experience
- Deep expertise in systems engineering across the tech stack
- Strong holistic background in machine learning theory and practice
- Diverse knowledge of neural architectures/circuits: transformers etc
- Published research at top AI conferences
Key Responsibilities
- Lead cutting-edge research in AI agents, focusing on memory, reliability, and reasoning
- Prototype and evaluate novel state-of-the-art methods/models
Interview Process
After submitting your application, our technical team reviews your credentials. If selected, you’ll proceed through the following stages:
- Initial screening (virtual 15 minutes)
- Quick dive into Vast, systems and architectures (virtual 30 minutes)
- LLM assisted coding assessment (virtual 1 hour)
- Meet and greet with coding assessment (on-site 2 hours)
Our goal is to complete the interview process in two weeks.
Annual Salary Range
$160,000 – $320,000 + equity + benefits
Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.
Job Features
Job Category
AI Engineer, Data Science
About Us Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity. We are a s…View more
Senior Data Scientist
Afresh Technologies
Salary- $150K/Yr – $180K/Yr
Posted 7 days ago
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we’ve helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you’ll join us!
Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy?
We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company.
Your responsibilities will also include:
- Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
- Designing experiments to measure the impact of new features on those metrics;
- Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
- Partnering with our machine learning teams for investigations and feature engineering; and
- Becoming an expert in our data analytics pipelines and core metrics
Qualifications
We are looking for a Data Scientist with relevant and demonstrated industry experience working with cross-functional partners and driving work from idea to completion. Strong communication skills and experience collaborating with business and external stakeholders is a must.
You would also ideally have education and work experience similar to the following:
- Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
- 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
- Experience with experimental design, econometrics, and/or causal inference is a plus but not required
And these technical/software skills:
- Expert level skills at SQL (experience with dbt is a plus but not required)
- Expertise with Python, R, or a similar data science scripting language
- Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar
Are you passionate about making a difference and eager to bring your unique skills to our team? We encourage you to apply for this position even if you don’t meet every specific criterion listed. We believe that diverse experiences and perspectives can greatly enrich our work environment and drive our success. If you’re enthusiastic about the role and confident in your ability to contribute, we want to hear from you. Bring your strengths and vision to the table, and let’s explore how you can make an impact with us.
Salary band shown in CAD:
Salary band shown in USD:
About Afresh
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we’re helping grocers provide fresher food to customers at more affordable prices.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we’ve raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt’s Innovation Endeavors.
Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Job Features
Job Category
Data Science
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments i…View more
Salary- $90K/yr – $120K/yr
Hybrid
Posted 7 days 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
Healthcare Data Analyst
University of Connecticut
Salary- $80K/yr – $100K/yr
Remote
Posted 1 week ago
SUPERVISION RECEIVED:
Works under the general supervision of a higher grade.
EXAMPLES OF DUTIES:
Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;
Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;
Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;
Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;
Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;
Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;
Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;
Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;
Performs other related duties as required.
KNOWLEDGE, SKILLS AND ABILITIES:
Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;
Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;
Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;
Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;
Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;
Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;
Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;
Proven ability to communicate complex data analytics using clear and concise methods and presentation media.
EXPERIENCE AND TRAINING:
GENERAL EXPERIENCE:
Six (6) years of experience in a healthcare data analytical role.
SUBSTITUTION ALLOWED:
Bachelor’s degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.
PREFERRED QUALIFICATIONS:
Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.
Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.
Experience with Epic electronic medical records platform.
Experience with data analytics related to value-based programs.
SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.
Why UConn Health
UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.
Job Features
Job Category
Business Analyst, Data Analyst
SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patien…View more
Network Security Consultant
Capital One
Contract
Remote
Posted 1 week ago
Job Title: Network Security Consultant
Position Overview:
We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The right candidate will bring a solid background in Cisco ACI (Application Centric Infrastructure) and have a proven track record of supporting complex enterprise network environments. This is a hands-on engineering role focused on performance, reliability, and secure infrastructure management.
Key Responsibilities:
- Design, implement, and support enterprise-grade LAN/WAN and SD-WAN networks
- Administer and troubleshoot Cisco ACI fabric, ensuring smooth network operations
- Perform network performance analysis, traffic engineering, and optimization
- Lead incident resolution for escalated network issues and perform root cause analysis
- Maintain strong documentation including network diagrams, SOPs, and change logs
- Collaborate with cross-functional teams including security, infrastructure, and application teams
- Ensure security best practices are applied across all network layers
- Participate in capacity planning and infrastructure upgrades
- Support change management and service delivery within established SLAs
Required Skills & Qualifications:
- 10+ years of experience in network engineering roles with increasing responsibilities
- Strong technical expertise in LAN/WAN, routing, switching, and SD-WAN technologies
- Hands-on experience with Cisco ACI environments (configuration, monitoring, troubleshooting)
- Solid understanding of network security concepts and tools
- Familiarity with enterprise monitoring and management platforms
- Excellent troubleshooting skills and the ability to handle high-priority incidents independently
- Strong communication and documentation skills
- Relevant certifications such as CCNP, CCIE, or equivalent needed
Job Features
Job Category
Cloud Security Engineer, Cyber Security
Job Title: Network Security Consultant Position Overview: We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The …View more
Salary- $60K/yr – $70K/yr
United States
Posted 1 week ago
DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas, trading, and weather industries.
It’s a difference you’ve likely felt without even knowing it. From the food on your plate to the gas in your car to the last flight you took, chances are a DTN customer made it possible. And that’s just for starters. That’s why we say, “When our customers prosper, we all win.”
Job Description:
-
Collaborate with domain experts to understand requirements and translate them into actionable data science tasks
-
Learn from industry experts already at DTN
-
Conduct exploratory data analysis to identify trends, patterns, and anomalies in relevant datasets, including weather and Earth-observing satellite data, data from weather, energy, and agricultural modeling systems, and data from governmental sources such as the USDA, DOE, EIA, NOAA, and NASA
-
Identify and implement novel ways of integrating varied informational resources to fill in critical gaps in the data that are available for solving a particular problem
-
Develop and implement innovative machine learning models for classification, localization, prediction, and change detection
-
Develop data visualization tools and dashboards to communicate findings and insights to stakeholders
-
Apply satellite data in combination with other data resources and models to extract meaningful insights related to weather, agriculture, and energy
-
Conduct spatiotemporal analyses and build models to identify and forecast weather-related risks such as droughts, floods, and storms
-
Stay updated with the latest advancements in satellite imagery analysis, machine learning, and data science techniques
What you can expect from DTN:
-
Flexible working hours
-
Remote work model (position dependent)
-
Competitive Medical, Dental and Vision Insurance Plans
-
6% 401K matching
-
Unlimited access to 13k+ courses via learning platform to support employee career advancement
-
Employee Assistance Program (EAP)
The targeted hiring base pay range for this position is between $63,750 and $85,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
Why DTN?
OUR VISION: To be the independent, trusted source of insights to our customers who feed, protect, and fuel the world.
OUR MISSION: Empower our customers with intelligent and actionable insights that exceed their expectations and enable their success on a daily basis.
OUR VALUES: Customer-Focused, Forward-Thinking, People-Centric, Solution-Oriented
We have great benefits at DTN – apply today to find out more!
At DTN, we are an equal opportunity employer. Come join us as we help feed, fuel, and protect the world!
** DTN is an Equal Opportunity Employer Minorities/Women/Veterans/Disabled
Job Features
Job Category
Data Science
DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas,…View more
Senior Data Analyst
Meta Reality Labs
Salary- $150K/Yr – $180K/Yr
Hybrid
Posted 1 week ago
Title: Senior Data Analyst
Location: Hybrid
About the Role (Meta-specific):
In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.
Responsibilities:
- Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs’ data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs’ business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
- Experience in one or more of the following channels:
-
- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Job Category
Data Analyst, Data Engineer
Title: Senior Data Analyst Location: Hybrid About the Role (Meta-specific): In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be…View more
Cybersecurity Engineer
Kreative Technologies
Salary- $150K/Yr – $180K/Yr
Remote
Posted 1 week 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- $120K/yr – $150K/yr
Hybrid, Remote
Posted 1 week ago
Title: PowerBI Data Analyst
Location: Hybrid
Hiring Manager Notes:
- Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
- Excellent communication is essential. This Statistician will:
- 1. Require a working knowledge of formal statistical analysis and causal modeling.
- 2. Use SQL to manipulate and model data.
- 3. Use Python or R perform statistical and causal modeling; create visualizations;
- 4. Use Tableau to create interactive visualizations
Additional Comments :
- We need strong Statistical Analysis candidate with hands on Tableau exp.
- We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don’t have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
- Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
- Excellent communication is essential
This role will:
- Use Tableau to create visualizations
- Use SQL to manipulate and model data
- Use python to manipulate and model data; create visualizations;
- Require a working knowledge of formal statistical analysis and causal modeling
- Require excellent communication skills
Job Features
Job Category
Data Analyst, Data Engineer, Python Developer
Title: PowerBI Data Analyst Location: Hybrid Hiring Manager Notes: Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years. Excellent communic…View more
Salary- $105.8K/yr – $174.8K/yr
Remote
Posted 1 week ago
Overview:
The work we do at North is pioneering and fun. We build meaningfully, we think bigger and we always advance. Our diverse range of customers and services make every day different. We always look at things from the customer’s point of view. Our values are know your craft, know your colleagues, know your customers and know how to connect. At North, we know and value the power of connecting people, skills and technologies in new and exciting ways.
Responsibilities:
Our Life Safety and Security engineering team, is at the heart of our business. Multi-skilled across multiple technologies and product ranges, our engineers possess a wide range of knowledge built up over many years. Customer service oriented and driven to deliver the very best levels of engineering, our engineers take pride in their daily work.
This role would suit someone who has strong networking and IT skills, and also has an undertsanding of IP CCTV.
This role will include a programme of mentored training and development to assist the individual as required, but also with a view to future progression and succession planning.
Responsibilities
- Install, Commission and Servicing of our wide range of field equipment including, CCTV, WAN/LAN & wireless, server and storage systems
- Retrofit upgrades / extensions to existing systems as part of remedial works packages.
- Provide high levels of customer services.
- Understanding site plans, to allow installs to take part based on site survey documentation.
Experience:
- Capability of lone-working and as part of a team
- Full UK driving licence
- DBS clearance (for working in schools)
Skills:
- Good people management skills
- Technical expertise in predominant skillset area
- Competent admin skills with sound working knowledge of internal business system.
- IPAF/ PASMA/ Asbestos Awareness certification (preferred if available but training will be provided)
- Recent/current electrical qualifications
- Sound and proven LAN/WAN/SD-WAN networking skills (Aruba and/or Cisco accredited)
- Knowledge of industry standard CCTV manufacturers preferred (Bosch, Dahau, Hikvision, Genetec, Veracity, Briefcam, Milestone)
Behaviours
- Can-do attitude and will to succeed
- Empathetic and supportive
- Best practice delivery focused
Job Features
Job Category
Cyber Security, Cybersecurity Engineer
Overview: The work we do at North is pioneering and fun. We build meaningfully, we think bigger and we always advance. Our diverse range of customers and services make every day different. We always l…View more
Business Analyst
King's Dream Business Consulting, LLC.
Salary- $60K/yr – $70K/yr, Salary- $80K/yr – $100K/yr
Posted 1 week ago
Overview
King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting research, analyzing data, and providing strategic insights to support decision-making processes within the organization. The ideal candidate will have a strong background in business analysis, excellent problem-solving skills, and the ability to translate data into actionable recommendations.
Duties
- Utilize SQL or similar tool to extract and manipulate data for reporting and analysis purposes.
- Create visually appealing dashboards and reports to facilitate decision-making.
- Conduct thorough market research and industry analysis to identify trends, opportunities, and challenges that may impact business operations
- Analyze and interpret complex data sets to generate meaningful insights and KPIs that drive informed decision-making across various departments
- Collaborate with cross-functional teams to gather business requirements, define project scopes, and develop solutions that align with organizational goals
- Create detailed reports, dashboards, and presentations to communicate findings, recommendations, and performance metrics to stakeholders
- Identify process improvements, efficiencies, and cost-saving initiatives through data analysis and business process mapping
- Assist in strategic planning, forecasting, budgeting, and performance tracking by providing data-driven insights and scenario modeling
Requirements
- Bachelor’s degree in Business Administration, Finance, Economics, or related field; Master’s degree or certification in Business Analysis is a plus
- Proven experience as a Business Analyst or similar role, with a strong track record of conducting quantitative and qualitative analysis in a business setting
- Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau, Power BI) to manipulate and visualize complex datasets
- Strong analytical skills, with the ability to interpret data, identify patterns, and draw actionable conclusions to drive business strategy
- Excellent communication skills, both written and verbal, to present findings to stakeholders and collaborate effectively with team members
- Detail-oriented approach with a focus on accuracy, problem-solving, and continuous improvement in data analysis processes
If you are passionate about leveraging data to drive business success and possess the required skills, we encourage you to apply for this exciting opportunity.
Job Types: Contract, Temporary
Pay: $35.00 – $40.00 per hour
Expected hours: 5 – 20 per week
Benefits:
- Flexible schedule
- Work from home
Compensation Package:
- 1099 contract
- Performance bonus
- Yearly bonus
Schedule:
- Choose your own hours
- Monday to Friday
- On call
Experience:
- Business analysis: 3 years (Required)
Work Location: Remote
Job Features
Job Category
Data Science
Overview King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting researc…View more
Salary- $90K/yr – $120K/yr
Remote
Posted 1 week 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
Azure Data Engineer
Ross Stores
Salary- $120K/yr – $150K/yr
Hybrid
Posted 7 days ago
Title: Azure Data Engineer
Location: Hybrid
- Python, SQL
- DBT Experience
- Previous retail (Prev Albertsons would be great!)
- Communication is key, speaking to stakeholders
- Communication skills, explain implementation teams
- Work with functionally split within retail analytics side
- Person would be working on hub and spoke model- supply chain and merchandising
- Two domains supply chains and store sites- lead engineers do review to other on team.
GENERAL PURPOSE:
|
The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms. |
QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Job Features
Title: Azure Data Engineer Location: Hybrid Python, SQL DBT Experience Previous retail (Prev Albertsons would be great!) Communication is key, speaking to stakeholders Communication skills, explain im…View more
Cloud Architect
Ulta Beauty
Salary- $120K/yr – $150K/yr
Hybrid
Posted 7 days ago
Title: Cloud Architect
Location: Hybrid
Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD) Initiative Timeframe: Short-term (3-6 months): Focus on TIBCO, APIGEE, Kafka – Long-term (6-12 months): Additional integration tools (TBD)
Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:
- Security Assessment and Risk Management:
- Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
- Identify and mitigate potential vulnerabilities in cloud-based architectures.
- Ensure proper encryption and key management protocols are in place.
- Architecture and Design:
- Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
- Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.
- Tool and Platform Security:
- Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
- Manage security integrations with Ulta’s identity management systems.
- Monitoring and Incident Response:
- Set up continuous monitoring for security events and anomalies across the integration platforms.
- Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.
- Documentation and Knowledge Transfer:
- Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
- Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.
Resource Justification Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization’s assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.
Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:
- Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
- Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
- API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
- Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
- Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
Job Features
Title: Cloud Architect Location: Hybrid Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Key Technologies Involved: TI…View more
Deep Learning Specialist
Snowflake
Salary- $80K/yr – $100K/yr
Hybrid
Posted 7 days ago
Build the future of the AI Data Cloud. Join the Snowflake team.
Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
- Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Job Features
Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technic…View more
Salary- $120K/yr – $150K/yr
Hybrid
Posted 7 days ago
About Us
Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity. We are a small, growing and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company’s mission. Leadership is earned by those who show initiative and deliver excellence. We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills. LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.About the Role
As an Agent Research Engineer, you will help advance the highest levels of the tech stack to imbue AI systems with true agency. Collaborating directly with our technical founder and diverse team, we will build the next generation of general learning agents. Possessing and maintaining a wide, deep and holistic knowledge base of cutting-edge research is crucial for advancing the mission. Many are called, but few are chosen.- Full-Time
- On-site at either our SF or LA offices
Tech Stack
Python, Engrish, LLMs, ANNs, C++/CudaIdeal Experience
- Deep expertise in systems engineering across the tech stack
- Strong holistic background in machine learning theory and practice
- Diverse knowledge of neural architectures/circuits: transformers etc
- Published research at top AI conferences
Key Responsibilities
- Lead cutting-edge research in AI agents, focusing on memory, reliability, and reasoning
- Prototype and evaluate novel state-of-the-art methods/models
Interview Process
After submitting your application, our technical team reviews your credentials. If selected, you’ll proceed through the following stages:- Initial screening (virtual 15 minutes)
- Quick dive into Vast, systems and architectures (virtual 30 minutes)
- LLM assisted coding assessment (virtual 1 hour)
- Meet and greet with coding assessment (on-site 2 hours)
Annual Salary Range
$160,000 – $320,000 + equity + benefits Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.Job Features
About Us Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity. We are a s…View more
Senior Data Scientist
Afresh Technologies
Salary- $150K/Yr – $180K/Yr
Posted 7 days ago
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we’ve helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you’ll join us!
Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy?
We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company.
Your responsibilities will also include:
- Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
- Designing experiments to measure the impact of new features on those metrics;
- Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
- Partnering with our machine learning teams for investigations and feature engineering; and
- Becoming an expert in our data analytics pipelines and core metrics
- Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
- 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
- Experience with experimental design, econometrics, and/or causal inference is a plus but not required
- Expert level skills at SQL (experience with dbt is a plus but not required)
- Expertise with Python, R, or a similar data science scripting language
- Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar
About Afresh
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we’re helping grocers provide fresher food to customers at more affordable prices.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we’ve raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt’s Innovation Endeavors.
Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Job Features
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments i…View more
Salary- $90K/yr – $120K/yr
Hybrid
Posted 7 days 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
Healthcare Data Analyst
University of Connecticut
Salary- $80K/yr – $100K/yr
Remote
Posted 1 week ago
SUPERVISION RECEIVED:
Works under the general supervision of a higher grade.
EXAMPLES OF DUTIES:
Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;
Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;
Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;
Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;
Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;
Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;
Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;
Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;
Performs other related duties as required.
KNOWLEDGE, SKILLS AND ABILITIES:
Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;
Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;
Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications; Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;
Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;
Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;
Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;
Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;
Proven ability to communicate complex data analytics using clear and concise methods and presentation media.
EXPERIENCE AND TRAINING:
GENERAL EXPERIENCE:
Six (6) years of experience in a healthcare data analytical role.
SUBSTITUTION ALLOWED:
Bachelor’s degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.
PREFERRED QUALIFICATIONS:
Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.
Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.
Experience with Epic electronic medical records platform.
Experience with data analytics related to value-based programs.
SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.
Why UConn Health
UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.
Job Features
SUPERVISION RECEIVED: Works under the general supervision of a higher grade. EXAMPLES OF DUTIES: Compiles and organizes large datasets from various sources, including electronic health records, patien…View more
Network Security Consultant
Capital One
Contract
Remote
Posted 1 week ago
Job Title: Network Security Consultant
Position Overview:
We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The right candidate will bring a solid background in Cisco ACI (Application Centric Infrastructure) and have a proven track record of supporting complex enterprise network environments. This is a hands-on engineering role focused on performance, reliability, and secure infrastructure management.
Key Responsibilities:
- Design, implement, and support enterprise-grade LAN/WAN and SD-WAN networks
- Administer and troubleshoot Cisco ACI fabric, ensuring smooth network operations
- Perform network performance analysis, traffic engineering, and optimization
- Lead incident resolution for escalated network issues and perform root cause analysis
- Maintain strong documentation including network diagrams, SOPs, and change logs
- Collaborate with cross-functional teams including security, infrastructure, and application teams
- Ensure security best practices are applied across all network layers
- Participate in capacity planning and infrastructure upgrades
- Support change management and service delivery within established SLAs
- 10+ years of experience in network engineering roles with increasing responsibilities
- Strong technical expertise in LAN/WAN, routing, switching, and SD-WAN technologies
- Hands-on experience with Cisco ACI environments (configuration, monitoring, troubleshooting)
- Solid understanding of network security concepts and tools
- Familiarity with enterprise monitoring and management platforms
- Excellent troubleshooting skills and the ability to handle high-priority incidents independently
- Strong communication and documentation skills
- Relevant certifications such as CCNP, CCIE, or equivalent needed
Job Features
Job Title: Network Security Consultant Position Overview: We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The …View more
Salary- $60K/yr – $70K/yr
United States
Posted 1 week ago
DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas, trading, and weather industries.
It’s a difference you’ve likely felt without even knowing it. From the food on your plate to the gas in your car to the last flight you took, chances are a DTN customer made it possible. And that’s just for starters. That’s why we say, “When our customers prosper, we all win.”
Job Description:
-
Collaborate with domain experts to understand requirements and translate them into actionable data science tasks
-
Learn from industry experts already at DTN
-
Conduct exploratory data analysis to identify trends, patterns, and anomalies in relevant datasets, including weather and Earth-observing satellite data, data from weather, energy, and agricultural modeling systems, and data from governmental sources such as the USDA, DOE, EIA, NOAA, and NASA
-
Identify and implement novel ways of integrating varied informational resources to fill in critical gaps in the data that are available for solving a particular problem
-
Develop and implement innovative machine learning models for classification, localization, prediction, and change detection
-
Develop data visualization tools and dashboards to communicate findings and insights to stakeholders
-
Apply satellite data in combination with other data resources and models to extract meaningful insights related to weather, agriculture, and energy
-
Conduct spatiotemporal analyses and build models to identify and forecast weather-related risks such as droughts, floods, and storms
-
Stay updated with the latest advancements in satellite imagery analysis, machine learning, and data science techniques
What you can expect from DTN:
-
Flexible working hours
-
Remote work model (position dependent)
-
Competitive Medical, Dental and Vision Insurance Plans
-
6% 401K matching
-
Unlimited access to 13k+ courses via learning platform to support employee career advancement
-
Employee Assistance Program (EAP)
The targeted hiring base pay range for this position is between $63,750 and $85,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
Why DTN?
OUR VISION: To be the independent, trusted source of insights to our customers who feed, protect, and fuel the world.
OUR MISSION: Empower our customers with intelligent and actionable insights that exceed their expectations and enable their success on a daily basis.
OUR VALUES: Customer-Focused, Forward-Thinking, People-Centric, Solution-Oriented
We have great benefits at DTN – apply today to find out more!
At DTN, we are an equal opportunity employer. Come join us as we help feed, fuel, and protect the world!
** DTN is an Equal Opportunity Employer Minorities/Women/Veterans/Disabled
Job Features
DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas,…View more
Senior Data Analyst
Meta Reality Labs
Salary- $150K/Yr – $180K/Yr
Hybrid
Posted 1 week ago
Title: Senior Data Analyst
Location: Hybrid
About the Role (Meta-specific):
In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.Responsibilities:
- Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs’ data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs’ business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
- Experience in one or more of the following channels:
-
- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Title: Senior Data Analyst Location: Hybrid About the Role (Meta-specific): In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be…View more
Cybersecurity Engineer
Kreative Technologies
Salary- $150K/Yr – $180K/Yr
Remote
Posted 1 week 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- $120K/yr – $150K/yr
Hybrid, Remote
Posted 1 week ago
Title: PowerBI Data Analyst
Location: Hybrid
Hiring Manager Notes:
- Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
- Excellent communication is essential. This Statistician will:
- 1. Require a working knowledge of formal statistical analysis and causal modeling.
- 2. Use SQL to manipulate and model data.
- 3. Use Python or R perform statistical and causal modeling; create visualizations;
- 4. Use Tableau to create interactive visualizations
- We need strong Statistical Analysis candidate with hands on Tableau exp.
- We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don’t have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
- Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
- Excellent communication is essential
- Use Tableau to create visualizations
- Use SQL to manipulate and model data
- Use python to manipulate and model data; create visualizations;
- Require a working knowledge of formal statistical analysis and causal modeling
- Require excellent communication skills
Job Features
Title: PowerBI Data Analyst Location: Hybrid Hiring Manager Notes: Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years. Excellent communic…View more
Salary- $105.8K/yr – $174.8K/yr
Remote
Posted 1 week ago
Overview:
The work we do at North is pioneering and fun. We build meaningfully, we think bigger and we always advance. Our diverse range of customers and services make every day different. We always look at things from the customer’s point of view. Our values are know your craft, know your colleagues, know your customers and know how to connect. At North, we know and value the power of connecting people, skills and technologies in new and exciting ways.
Responsibilities:
Our Life Safety and Security engineering team, is at the heart of our business. Multi-skilled across multiple technologies and product ranges, our engineers possess a wide range of knowledge built up over many years. Customer service oriented and driven to deliver the very best levels of engineering, our engineers take pride in their daily work.
This role would suit someone who has strong networking and IT skills, and also has an undertsanding of IP CCTV.
This role will include a programme of mentored training and development to assist the individual as required, but also with a view to future progression and succession planning.
Responsibilities
- Install, Commission and Servicing of our wide range of field equipment including, CCTV, WAN/LAN & wireless, server and storage systems
- Retrofit upgrades / extensions to existing systems as part of remedial works packages.
- Provide high levels of customer services.
- Understanding site plans, to allow installs to take part based on site survey documentation.
- Capability of lone-working and as part of a team
- Full UK driving licence
- DBS clearance (for working in schools)
- Good people management skills
- Technical expertise in predominant skillset area
- Competent admin skills with sound working knowledge of internal business system.
- IPAF/ PASMA/ Asbestos Awareness certification (preferred if available but training will be provided)
- Recent/current electrical qualifications
- Sound and proven LAN/WAN/SD-WAN networking skills (Aruba and/or Cisco accredited)
- Knowledge of industry standard CCTV manufacturers preferred (Bosch, Dahau, Hikvision, Genetec, Veracity, Briefcam, Milestone)
- Can-do attitude and will to succeed
- Empathetic and supportive
- Best practice delivery focused
Job Features
Overview: The work we do at North is pioneering and fun. We build meaningfully, we think bigger and we always advance. Our diverse range of customers and services make every day different. We always l…View more
Business Analyst
King's Dream Business Consulting, LLC.
Salary- $60K/yr – $70K/yr, Salary- $80K/yr – $100K/yr
Posted 1 week ago
Overview
King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting research, analyzing data, and providing strategic insights to support decision-making processes within the organization. The ideal candidate will have a strong background in business analysis, excellent problem-solving skills, and the ability to translate data into actionable recommendations.
Duties
- Utilize SQL or similar tool to extract and manipulate data for reporting and analysis purposes.
- Create visually appealing dashboards and reports to facilitate decision-making.
- Conduct thorough market research and industry analysis to identify trends, opportunities, and challenges that may impact business operations
- Analyze and interpret complex data sets to generate meaningful insights and KPIs that drive informed decision-making across various departments
- Collaborate with cross-functional teams to gather business requirements, define project scopes, and develop solutions that align with organizational goals
- Create detailed reports, dashboards, and presentations to communicate findings, recommendations, and performance metrics to stakeholders
- Identify process improvements, efficiencies, and cost-saving initiatives through data analysis and business process mapping
- Assist in strategic planning, forecasting, budgeting, and performance tracking by providing data-driven insights and scenario modeling
- Bachelor’s degree in Business Administration, Finance, Economics, or related field; Master’s degree or certification in Business Analysis is a plus
- Proven experience as a Business Analyst or similar role, with a strong track record of conducting quantitative and qualitative analysis in a business setting
- Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau, Power BI) to manipulate and visualize complex datasets
- Strong analytical skills, with the ability to interpret data, identify patterns, and draw actionable conclusions to drive business strategy
- Excellent communication skills, both written and verbal, to present findings to stakeholders and collaborate effectively with team members
- Detail-oriented approach with a focus on accuracy, problem-solving, and continuous improvement in data analysis processes
- Flexible schedule
- Work from home
- 1099 contract
- Performance bonus
- Yearly bonus
- Choose your own hours
- Monday to Friday
- On call
- Business analysis: 3 years (Required)
Job Features
Overview King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting researc…View more
Salary- $90K/yr – $120K/yr
Remote
Posted 1 week 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
