Peraton Logo

Peraton

Data Scientist – Talent Analytics & Organizational Research

Posted 2 Days Ago
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

19 Minutes Ago
Remote or Hybrid
19-19 Hourly
Entry level
19-19 Hourly
Entry level
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
Conduct outbound consultation calls with clients about credit card processing, assess merchant needs, recommend cost-effective solutions, and convert leads into merchant account applications. Provide customer service, manage client relationships, communicate by phone and email, follow up on pricing quotes, and support other customer service teams. The role requires learning point-of-sale systems and credit card terminals while using consultative sales, negotiation, and problem-solving skills.
Top Skills: Credit Card TerminalsPoint-Of-Sale Systems
2 Hours Ago
In-Office or Remote
152K-213K Annually
Expert/Leader
152K-213K Annually
Expert/Leader
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead FP&A for global Value Services supporting Customer Success, Professional Services, Support, and related teams. Partner with the CCO, manage a team of three, own budgeting, forecasting, financial modeling, performance reporting, executive presentations, ad-hoc analysis, process improvements, headcount and spend controls to optimize margins and support strategic initiatives.
Top Skills: AnaplanChatgptCopilotGeminiExcelPowerPoint
3 Hours Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
Own enterprise new-logo acquisition and expansion while personally closing complex, high-value deals and carrying an individual quota. Hire, coach, and develop Enterprise AEs and SDRs; establish forecasting, pipeline, conversion, and sales operating cadences. Partner with Marketing, Product, Customer Success, Partnerships, Legal, and Finance, while presenting performance and strategic recommendations to executives and the board.
Top Skills: ChallengerChorusCommand Of The MessageForce ManagementGongHubspotLinkedin Sales NavigatorMeddpiccOutreachSalesloftZoominfo

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account