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Salary- $190K/Yr – $220K/Yr
Onsite
Posted 1 week ago

Location: Remote
Job Type: Full-time

About the Role:

We are seeking a DevSecOps Engineer to bridge the gap between web development, operations, and security. You will be responsible for developing secure web applications, managing CI/CD pipelines, and implementing robust cloud and network security practices across our infrastructure.

Key Responsibilities:

  • Design, develop, and deploy secure, scalable web applications using modern frameworks (e.g., React, Node.js, Django).

  • Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI).

  • Integrate automated security testing into the development pipeline (SAST, DAST, SCA).

  • Monitor cloud infrastructure (AWS/GCP/Azure) and implement security best practices (IAM, VPCs, security groups, etc.).

  • Conduct regular threat modeling, vulnerability assessments, and penetration testing.

  • Automate infrastructure using Infrastructure as Code (Terraform, Ansible).

  • Collaborate with development and IT teams to ensure DevOps and security alignment.

  • Respond to and investigate incidents involving infrastructure or application compromise.

Required Skills & Experience:

  • 3+ years of experience in DevOps or Site Reliability Engineering.

  • 2+ years of hands-on web development experience.

  • Solid knowledge of network security principles (e.g., firewalls, IDS/IPS, TLS, VPN).

  • Experience with Docker and Kubernetes in production environments.

  • Familiarity with OWASP Top 10 and secure coding practices.

  • Scripting skills in Bash, Python, or similar languages.

  • Experience with logging/monitoring tools (ELK stack, Prometheus, Grafana).

  • Understanding of authentication protocols (OAuth2, SAML, etc.).

Preferred Qualifications:

  • Certifications: OSCP, CEH, or AWS Security Specialty.

  • Experience with zero trust security architecture.

  • Contributions to open-source DevSecOps or security tools.

Job Features

Job Category

Cybersecurity Engineer, DevOps

Location: RemoteJob Type: Full-time About the Role: We are seeking a DevSecOps Engineer to bridge the gap between web development, operations, and security. You will be responsible for developing secu…View more

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Salary- $150K/Yr – $170K/Yr
Remote
Posted 1 week ago

An AI Security Analyst plays a crucial role in protecting artificial intelligence systems, models, and data against potential cyber threats. With the rapid adoption of AI across industries, ensuring the security and ethical use of these technologies has become a top priority. This role combines expertise in cybersecurity, data protection, and AI model risk management to create a safe digital environment for organizations.

The AI Security Analyst is responsible for identifying, analyzing, and mitigating security risks in AI and machine learning pipelines. This includes safeguarding sensitive datasets, monitoring for adversarial attacks, and implementing robust access controls. The analyst also evaluates vulnerabilities in algorithms and AI-powered applications to prevent exploitation.

Collaboration is a key aspect of this position. The analyst works closely with data scientists, AI engineers, and cybersecurity teams to establish secure frameworks for AI development and deployment. By integrating security best practices into each stage of the AI lifecycle, they ensure that models are both effective and resilient against threats.

Additionally, the AI Security Analyst leads efforts in compliance and governance. This includes aligning with industry regulations, ethical AI standards, and privacy laws to maintain trust and transparency. Incident response planning and threat modeling are also central responsibilities, helping organizations stay prepared for potential breaches.

The ideal candidate for this role has strong knowledge of cybersecurity principles, machine learning risks, and ethical AI practices. With a proactive mindset and problem-solving approach, the AI Security Analyst contributes significantly to organizational resilience and ensures that AI innovations are secure, reliable, and responsibly managed.

Job Features

Job Category

Cyber Security, Data Science

An AI Security Analyst plays a crucial role in protecting artificial intelligence systems, models, and data against potential cyber threats. With the rapid adoption of AI across industries, ensuring t…View more

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Salary- $150K/Yr – $180K/Yr
Remote
Posted 1 week ago
Machine Learning
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
  • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
  • Help drive optimization, testing, and tooling to improve quality
  • Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
  • You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You’ll Be
  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
  • Working hours? We operate within the Eastern Standard time zone for collaboration
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Job Features

Job Category

Data Analyst, Data Science, Machine Learning

Machine Learning The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. W…View more

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Salary- $120K/yr – $150K/yr
Remote
Posted 1 week ago
Title: Cloud Security Engineer Location: Hybird

Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement: Cloud Security Engineer – Contractor Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)

Executive Summary The Integration Modernization initiative aims to enhance Ulta’s capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months. 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:

  1. 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.
  1. 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.
  1. 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.
  1. 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.
  1. Compliance and Auditing:
    • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
    • Conduct regular audits of security controls and recommend improvements as needed.
  1. 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 The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company’s strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance. 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.
  • DevSecOps: Familiarity with CI/CD pipelines and automating security controls within development processes.

Job Features

Job Category

Cyber Security, Security

Title: Cloud Security Engineer Location: Hybird Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement:…View more

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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

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Salary- $150K/Yr – $180K/Yr
Hybrid, Remote
Posted 1 week ago

Overview:

A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.

Key Responsibilities:

  • Analyze datasets and algorithms for bias, fairness, and representativeness.

  • Design ethical frameworks for AI and data usage.

  • Work with data scientists, engineers, and product teams to implement responsible AI practices.

  • Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).

  • Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.

  • Educate stakeholders on data ethics principles.

Required Skills:

  • Strong foundation in data science and machine learning.

  • Understanding of ethical theory, philosophy, or AI ethics.

  • Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).

  • Ability to communicate complex ideas to non-technical stakeholders.

  • Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).

Job Features

Job Category

Data Analyst, Data Science

Overview: A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, an…View more

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Salary- $80K/yr – $100K/yr
Texas
Posted 1 week ago
Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flexibility and time for all the things that are important to you. It’s an opportunity to do something meaningful, each and every day. It’s having support for your mental, physical, financial and professional needs. It means sharpening your skills and growing your career. And it means working in an environment that celebrates diversity and is fair and inclusive. A career at Sedgwick is where passion meets purpose to make a positive impact on the world through the people and organizations we serve. If you are someone who is driven to make a difference, who enjoys a challenge and above all, if you’re someone who cares, there’s a place for you here. Join us and contribute to Sedgwick being a great place to work.
PRIMARY PURPOSE : To develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff; and to provide technical oversight and guidance to client dedicated analysts located in multiple field offices. ESSENTIAL FUNCTIONS and RESPONSIBILITIES
  • Develops comprehensive, complex and accurate information reports.
  • Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management.
  • Reports directly to senior management; communicates data findings for forecasting and client needs.
  • Obtains, analyzes and provides appropriate feedback on company or client specific information needs.
  • Provides complex data analysis functions to meet client specific, program or company senior management needs.
  • Serves as a resource for colleagues on data analysis and benchmarking issues.
  • Provides technical oversight and guidance to client dedicated analysts located in multiple field offices.
  • Provides training and data analysis education for colleagues.
ADDITIONAL FUNCTIONS and RESPONSIBILITIES
  • Performs other duties as assigned.
  • Supports the organization’s quality program(s).
  • Travels as required.
QUALIFICATIONS Education & Licensing Bachelor’s degree with major in Business Administration, Statistics, or Quantitative Analysis from an accredited college or university preferred. Computer Science courses preferred. Skills & Knowledge
    • Knowledge of risk management information systems including utilization and functionality
    • Excellent oral and written communication, including presentation skills
    • PC literate, including Microsoft Office products
    • Analytical and interpretive skills
    • Strong organizational skills
    • Strong time management skills
    • Excellent interpersonal skills
    • Excellent negotiation skills
WORK ENVIRONMENT When applicable and appropriate, consideration will be given to reasonable accommodations. Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines Physical: Computer keyboarding, travel as required Auditory/Visual: Hearing, vision and talking NOTE : Credit security clearance, confirmed via a background credit check, is required for this position. The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

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Data Science

Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flex…View more

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Salary- $80K/yr – $100K/yr
Remote
Posted 1 week ago
Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervisory Intelligence Analysts. Applications will not be accepted from outside this area of consideration. The FBI is an Intelligence Community (IC) agency like no other. As an FBI Intelligence Analyst (IA), you will lead analysis of criminal and national security threats to the U.S. that helps the FBI, policymakers, and partners identify threats and opportunities and inform decision-making. You will apply analytic tradecraft to analyze information derived from our unique blend of law enforcement and intelligence authorities. You will work with special agents, other FBI and IC colleagues, and partners to identify threat priorities, collection strategies, and disruption opportunities. FBI is looking for applicants who exhibit the identified critical skills listed under the Selective Placement Factor section of this job posting working at one of the 18 agencies designated by the ODNI. https://www.intelligence.gov/how-the-ic-works#our-organizations
Key Requirements
  • Must be current or former Federal, Intelligence Analysts (0132) within the Intelligence Community.
  • Must attend and successfully progress beyond the Intelligence Analyst Meet and Greet
  • Must be able to obtain a Top-Secret SCI clearance from the FBI
  • Must have a bachelor’s degree from an accredited college or university
Candidates selected from this posting will be required to successfully graduate from a 12- week Intelligence Basic Field Training Course (BFTC) at our training facility in Quantico, Va.
  • Must sign a mobility service agreement indicating your willingness to relocate to any office, based on the needs of the FBI
Candidates selected from this posting will be assigned to HQ divisions primarily in Washington DC, but potentially including locations that house FBI HQ personnel such as McLean VA Chantilly VA, Crystal City VA, Merrifield VA, Linthicum MD, Huntsville AL, Pocatello ID, Quantico and Fredericksburg VA, and Clarksburg, WV.
  • Must adhere to the two-year IA probationary period starting from the effective date of first assignment
Required Documents Failure to provide necessary and relevant information required by this job posting may disqualify you from consideration. 1. Resume (relevant/specialized work experience with start and end dates) 2. Official/Unofficial Transcript 3. SF-50 showing current employment as a 0132 at a designated IC agency Additional information will not be requested if your application is incomplete. Your application will be evaluated solely based on information you have submitted. Major Duties As an IA, you will:
  • Review FBI communications to identify and evaluate the intelligence information therein.
  • Prepare and disseminate intelligence information while protecting sources and investigations through correct document classification and controls.
  • Communicate with FBI field offices, legal Attaches (Legats), analysts, and members of the Intelligence Community (IC), policy, and law enforcement communities to gain a better
understanding of sources, operations, missions, and requirements.
  • Assist in the preparation of collection instructions, guides, and manuals for FBI entities and interact with outside entities to facilitate their initiatives.
  • Analysis to include collation of raw, primary, and secondary data derived from various sources such as automated data base systems, operational intelligence reports, miscellaneous
communications, case files, internal and external automation systems, and other sources.
  • Prepares parts of more complex studies or reports that include aspects related to their specifically-defined geographic or functional area.
  • May participate in interagency committees and meetings as representatives of the organization or functional area.
  • Evaluates incoming reports and information and performs interpretations and projections under the guidance of senior analysts.
  • Prepares basic descriptive and current reportorial intelligence reports to higher-level analysts and superiors in their assigned area of responsibility.
  • Ensures compliance with laws, regulations, executive orders, and directives promulgated by the Congress, Attorney General, the Director of the FBI, and the Office of Director of National
Intelligence (ODNI) to achieve goals and objectives.
Qualifications and Evaluations
  • Current or Former Federal Intelligence Analysts should ONLY apply to the grade level in which they currently hold.
  • Your resume and supporting documentation will be used to determine whether you meet the job qualifications and competencies listed in this announcement and will be compared to your
responses to the online assessment questionnaire.
  • Applicants must meet the qualification requirements by the closing date of this announcement.
  • Please ensure your specialized experience/requirement(s) can be identified in your resume.
Competencies
  • Analytic Thinking
  • Communication
  • Information Management
  • Collaboration
  • Flexibility and adaptability
  • Organization and planning
  • Problem solving and judgement
Specialized Experience (SE) GS 11: Applicants must have at least one (1) year of experience at the GS11 grade level. SE is as follows:
  • Conduct analytical reviews of data to identify patterns.
  • Analyze information and make decisions regarding its value and worth to a case.
  • Provide briefings, intelligence reports, and/or recommendations to management or higher-level staff.
GS 12: Applicants must have at least one (1) year of experience at the GS12 grade level. SE is as follows:
  • Guide investigative, programmatic, and policy decisions by the intelligence, policy, and law enforcement communities.
  • Manage the collection and dissemination of intelligence information from investigations, sources and contacts to the intelligence, policy, and law enforcement communities.
  • Perform liaison duties with other US and foreign government agencies on a wide variety of topics.
GS 13: Applicants must have at least one (1) year of experience at the GS13 grade level. SE is as follows:
  • Interpretation of investigative information and extrapolating data for the collection, analysis, evaluation, and dissemination to the appropriate officials of the IC, law enforcement agencies,
and other government entities.
  • Review information/data, determine the significance, and validate its accuracy and reliability.
  • Use of various analytical techniques and devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events.
GS 14: Applicants must have at least one (1) year of experience at the GS14 grade level. SE is as follows:
  • Expertly handle complex issues, providing guidance to investigative, programmatic, policy decisions by the intelligence, policy, and law enforcement communities.
  • Expertly able to review information/data, determine the significance, validate its accuracy and reliability
  • Using various analytical techniques, devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events
Initiate dialogue with counterparts in the analytical and intelligence community to anticipate emerging intelligence issues Selective Placement Factors
Please ensure that one or more of the following are identified within your resume:
  • Cyber: computer science, engineering, information assurance/security, information science, data science/analytics, ethical/white hat hacking, telecommunications security,
programming/coding or computer forensics. OR
  • National Security: International relations/foreign affairs, international migration, world religions, homeland security, international law, international finance, SIGINT or offensive technological
collection operations, or subject and source targeting. OR
  • Hard Sciences: Engineering, chemical, biological/agriculture, physics, physical science, biometrics, biomedical, or forensic science. Experience and familiarization with artificial intelligence,
quantum information sciences, immersive technologies, vehicle telematics, energy infrastructure, microelectronics, and wireless technology. OR
  • Other: Accounting/economics, geospatial/mapping, open-source intelligence, journalism, electrical or psychology/sociology. Degree of study in the following areas: Central Asia, China,
Korea, the Middle East, African/Arabian Peninsula, Eurasia, Cuba, or Latin America.

Job Features

Job Category

Cyber Security

Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervis…View more

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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.

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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

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Salary- $143K/yr – $264K/yr
Hybrid, Remote
Posted 1 week ago
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something – you’ll add something. Description We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will extend to the design and development of a comprehensive data selection, curation and annotation framework for multimodal foundation models at apple. We are looking for people passionate about innovating and applying ML algorithms that enable us to create high-quality and impactful datasets. As part of this role, you will explore and research solutions that allow us to optimize the recipes for training foundation models at scale for various capabilities. You will also work on setting up comprehensive evaluation pipelines that allow us to measure and benchmark progress of foundation models. Minimum Qualifications
  • BS and a minimum of 3 years relevant industry experience
  • Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
  • Deep understanding and expertise in multi-modal foundation models.
  • Staying on top of emerging trends in generative AI and multi-modal LLM.
  • Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
Preferred Qualifications
  • Familiarity with end-to-end Machine Learning Lifecycle
  • Demonstrated evidence of prior experience and expertise in data-centric machine learning research
  • Strong problem-solving and communication skills.
  • Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses – including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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Job Category

Data Engineer, Data Science

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the res…View more

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Salary- $92K/yr – $144K/yr
Remote
Posted 1 week ago

Role Overview:

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.

Key Responsibilities:

  • Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.

  • Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.

  • AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.

  • Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.

  • Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.

Required Qualifications:

  • Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.

  • Technical Skills:

    • Proficiency in programming languages such as Python or R.

    • Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).

    • Familiarity with cybersecurity concepts and tools.

  • Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.

  • Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.

Preferred Qualifications:

  • Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).

  • Experience: Prior experience in a cybersecurity-focused data science role.

  • Tools: Familiarity with data visualization tools like Tableau or Power BI.

Benefits:

  • Competitive Salary: Reflective of experience and industry standards.

  • Flexible Working: Options for remote or hybrid working arrangements.

  • Professional Development: Opportunities for training and certifications in AI and cybersecurity.

  • Health & Wellness: Comprehensive health insurance and wellness programs.

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Job Category

Cyber Security, Data Science

Role Overview: We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves develo…View more

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Salary- $120K/yr – $150K/yr
Remote, Toronto
Posted 1 week ago

Fraud Detection Specialist — Full Role Description

Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real-time risk monitoring, and cross-functional coordination to reduce losses and protect customers and the business.

Key responsibilities

  • Monitor real-time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.

  • Conduct end-to-end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.

  • Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.

  • Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML-based detectors; propose new logic.

  • Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.

  • Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; escalate high-severity cases and coordinate actions.

  • Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.

  • Support remediation and recovery efforts: transaction reversals, account actions, customer outreach, and preventive control rollout.

  • Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.

Success outcomes

  • Lower fraud losses and chargeback rates via faster, more precise interdiction.

  • Reduced false positives and better customer experience through improved scoring and tuning.

  • Clear, auditable investigations with timely, actionable reporting.

  • Proactive controls that address new fraud vectors before they scale.

Core skills and tools

  • Data analysis: SQL, Excel/BI, familiarity with log and event data; ability to spot anomalies and links in large datasets.

  • Fraud platforms: experience with real-time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.

  • Investigation: evidence collection, chain-of-custody awareness, case documentation, interviewing, and writing defensible reports.

  • Communication: concise escalation notes, stakeholder briefings, and cross-team coordination under time pressure.

  • Domain knowledge: card-not-present/payments, e-commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.

  • Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.

Typical day

  • Triage and review queued alerts; prioritize high-risk cases.

  • Deep-dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.

  • Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.

  • Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.

  • Summarize trends and recommendations for management.

Advanced/technical track (optional but valuable)

  • Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.

  • Streaming and real-time decisioning: low-latency pipelines to evaluate transactions in milliseconds.

  • Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.

Common fraud types

  • Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot-driven abuse, and social engineering impacts.

Career paths

  • Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.

Role variants and titles

  • Fraud Analyst, Fraud Prevention Specialist, Fraud Investigator, Fraud and Risk Analyst, Senior Fraud Analyst.

Why it matters now

  • Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.

Job Features

Job Category

Cyber Security, Data Science

Fraud Detection Specialist — Full Role Description Role overview A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior,…View more

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Salary- $156K/yr – $278K/yr
Hybrid, Remote
Posted 1 week ago

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:
  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world. This role will be working on our Poe product.  

About the Team and Role:

We are looking for a talented Senior Backend Engineer to join the Creators team to help shape the future of Poe, our rapidly growing AI product. In this role, you’ll work at the forefront of the AI ecosystem to empower bot creators and developers. You’ll build abstractions and tooling to accelerate bot onboarding, collaborate directly with leading LLM providers to integrate their latest advancements, and improve our external API to support a thriving developer ecosystem. This is a high-impact role with direct visibility into how creators build and scale on Poe. Check out some of the amazing bots our Creators team has recently launched, in collaboration with our cutting-edge LLM partners!
  • https://poe.com/blog/report-early-2025-ai-ecosystem-trends
As a senior engineer, you’ll drive feature planning and backend implementation, while contributing to a fast-paced, cross-functional product cycle. If you’re passionate about AI, excited by emerging technologies, and eager to work on a platform with global reach, we’d love to hear from you.  

Responsibilities:

  • Collaborate closely with cross-functional teams (design, product, data science, QA, and engineering) to advise on product roadmap and create innovative features and user experiences for bot creators
  • Iterate on our developer APIs using best practices for performance and reliability
  • Be a champion for both user experience and for sustainable, scalable code practices
  • Collaborate closely with LLM providers to easily integrate new LLMs on Poe
  • Participate in on-call responsibilities to ensure Poe provides a reliable and high quality product
 

Minimum Requirements:

  • Availability for meetings and impromptu communication during Quora’s “coordination hours” (Mon-Fri: 9am-3pm Pacific Time)
  • A passion for learning and always improving yourself and the team around you
  • Strong communication and interpersonal skills
 

Preferred Requirements:

  • Passion for Poe and Quora’s products and mission
  • Passionate about API design, the developer ecosystem and overall developer experience
  • Passion for code quality and designing elegant systems
  At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.  

Additional Information:

We are accepting applications on an ongoing basis. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
  • US candidates only: For US based applicants, the salary range is $155,656 – $225,160 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $202,383 – $278,361 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,891 – $259,803 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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AI Engineer, Data Analyst, Data Science

About Quora: Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products: Quora: a global knowledge sharing platform with over 400M monthly unique …View more

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Salary- $120K/yr – $150K/yr
Hybrid
Posted 1 week ago

Job Description:

We are looking for a DevOps Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.

Key Responsibilities:

  • Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.

  • Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.

  • Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.

  • Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.

  • Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.

  • Enhance system reliability, security, and performance for astronomical observatories and space missions.

  • Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).

  • Monitor and troubleshoot system performance and astronomical data processing jobs.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.

  • 3+ years of experience in DevOps, SRE, or Cloud Engineering.

  • Proficiency in Linux, Shell scripting, Python, or Golang.

  • Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

  • Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.

  • Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.

  • Passion for space exploration, astronomy, or satellite technology.

Preferred Qualifications:

  • Experience working with astronomical observatories, space agencies, or research institutes.

  • Understanding of radio astronomy, optical telescopes, or space mission software.

  • Contributions to open-source projects related to space science or DevOps.

Benefits:

  • Work on cutting-edge space and astronomy projects.

  • Collaborate with leading scientists and space agencies.

  • Competitive salary and flexible work environment.

  • Opportunity to contribute to groundbreaking astronomical discoveries.

Job Features

Job Category

DevOps

Job Description: We are looking for a DevOps Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and dat…View more

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Salary- $144K/Yr – $207K/Yr
Hybrid
Posted 1 week ago
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
    Job Description: AFS is seeking a Forensic Analyst to support a new and exciting opportunity. As a Forensic Analyst at AFS, you’ll perform technical analysis of malicious binaries through controlled execution and/or static analysis of assembly code; analyze and overcome techniques (involving unpacking, de-obfuscation, and anti-debugging) designed to defeat detection; ascertain functionality, capability, and call-backs of malicious code; assist with attribution to adversary infrastructure and identification of indicators of compromise; work with the customer to provide information and documentation of malware characteristics and properties to enable malware detection; develop and implement mitigation strategies to build high-confidence YARA/SNORT rules and signatures. Responsibilities include:
  • Develop solutions spanning multiple subject areas, from NLP to Image and Video.
  • Maintain awareness of state-of-the-art machine learning and techniques, methods and platforms, including commercial and open source.
  • Implement, configure and test machine learning and deep learning libraries and platforms (e.g. fast.ai, TensorFlow, Keras, XGBoost, LightGBM).
  • Test solutions on AWS using services such as SageMaker, EC2, and Snowball Edge.
  • Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences.
  • Contribute to visually-appealing, web-enabled prototype applications that illustrate relevant machine learning capabilities.
Here’s what you need:
  • A.A. and 13 years of in-depth relevant experience OR B.S. and 11 years of in-depth relevant experience OR M.S. and 9 years of in-depth relevant experience OR Phd and 7 years of in-depth relevant experience
Security Clearance:
  • An active TS/SCI with polygraph clearance is required to start
 
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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Cyber Security, Cybersecurity Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purp…View more

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