Peraton Logo

Peraton

Data Scientist – Talent Analytics & Organizational Research

Posted Yesterday
Remote
Hiring Remotely in United States
66K-106K Annually
Senior level
Remote
Hiring Remotely in United States
66K-106K Annually
Senior level
Conduct workforce analytics and applied organizational research on attrition, mobility, engagement, performance, and planning. Analyze and validate HR data using SQL, R, or Python; apply statistical testing and regression; translate business questions into actionable insights; and communicate findings through visualizations, reports, and presentations. Partner with HR stakeholders while maintaining the accuracy, documentation, confidentiality, and integrity of sensitive workforce data.
The summary above was generated by AI
Responsibilities

Peraton is seeking a Data Scientist to join our Talent Analytics & Insights team. In this role, you will leverage your strong quantitative skills in data analysis, statistical testing, and research design to support our investigations into critical workforce questions such as attrition drivers, workforce planning, internal mobility, employee engagement, and performance outcomes.

Over time you will take on increasingly sophisticated modeling and analytic challenges. You will support not just producing numbers, but in producing advice and answers that senior leaders will use to make critical workforce decisions.  To this end, excellent oral and written communication skills will differentiate the best candidates for this position.

This is not a back-end data engineering role. We are looking for someone who enjoys applied research, analytical problem-solving, and the challenge of making data useful for real decisions.

While work may be performed remotely, preference will be given to qualified candidates able to work occasionally from our Reston, VA office.


What You'll Do
  • Conduct descriptive and diagnostic analyses of workforce data to surface trends, anomalies, and actionable patterns (e.g., attrition hotspots, promotion rates, engagement shifts)
  • Apply hypothesis testing, correlation analysis, and regression techniques and other methods to answer workforce questions with rigor
  • Extract, join, transform, and validate data from enterprise data warehouse and HR systems using SQL
  • Translate business questions into structured analytical approaches and deliver end-to-end analyses from scoping through presentation
  • Communicate findings clearly to HR and business stakeholders, including visualizations, written summaries, and presentations
  • Partner with HR functions throughout the lifecycle of analytics initiatives — from data gathering and exploratory analysis through delivery and documentation
  • Ensure the integrity, accuracy, and confidentiality of highly sensitive workforce data
Qualifications
  • Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Economics, Psychology, Industrial-Organizational Psychology, Computer Science, or related discipline) with 5+ years of relevant experience; or Master's degree in a relevant field with up to 3 years of experience (including graduate research or internships)
  • 9+ years of relevant experience may be considered in lieu of degree. 
  • Solid grounding in statistics, including hypothesis testing, correlation, and regression modeling
  • Proficiency in SQL for querying, filtering, joining, and aggregating structured data from relational databases
  • Proficiency in a statistical programming language (R or Python) for data manipulation, analysis, and visualization
  • Ability to interpret analytical results accurately and communicate findings clearly in written and verbal form
  • Strong attention to detail and commitment to producing accurate, well-documented work
  • Proven ability to manage projects independently, prioritize effectively, and deliver high-quality results
  • Demonstrated integrity and discretion when working with sensitive data
  • Excellent oral and written communication skills
  • Must be a US citizen. 
Preferred Qualifications
  • Experience in people analytics, organizational behavior, industrial-organizational psychology, or workforce research
  • Exposure to machine learning concepts and practical application (academic projects, internships, or professional experience)
  • Experience with Workday reporting and HRIS data structures
  • Familiarity with Alteryx or similar tools for data preparation and workflow automation
  • Experience working with HR or employee data in a professional or research setting
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range$66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Similar Jobs

13 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
250K-349K Annually
Senior level
250K-349K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.
Top Skills: Agentic FrameworksAIAutonomous WorkflowsCi/CdData GovernanceDevsecopsDistributed SystemsGitlabLarge Language ModelsMachine LearningMulti-Tenant SystemsObservabilitySecurity And ComplianceSre
18 Minutes Ago
In-Office or Remote
76K-200K Annually
Junior
76K-200K Annually
Junior
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Promotes Pfizer’s vaccines portfolio across an assigned territory through in-person and virtual customer engagement. Drives sales, develops territory and call plans, builds relationships with healthcare customers and key opinion leaders, supports formulary access, identifies market opportunities, and collaborates with medical and account-management teams. The role requires compliant product and disease-state communication, strong account management, digital engagement, territory management, and timely administrative execution.
Top Skills: Digital Engagement ToolsMulti-Platform Collaboration ToolsVirtual Communication Platforms
41 Minutes Ago
In-Office or Remote
South Carolina, USA
43K-78K Annually
Junior
43K-78K Annually
Junior
Other • Utilities
Acquire new small and medium-sized business accounts through prospecting, cold calling, networking, lead generation, and referrals. Recommend tailored wireless products and services, negotiate and close deals, manage sales funnels, report forecasts, and meet monthly sales quotas. Participate in product training and sales meetings while developing prospecting, call execution, and relationship-management skills.
Top Skills: Sales Force Automation

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account