Data Scientist - Talent Analytics & Organizational Research
About The Position
Peraton is seeking a Data Scientist to join its Talent Analytics & Insights team. The role applies research design, statistical analysis, and predictive modeling to investigate workforce questions such as attrition drivers, workforce planning, internal mobility, employee engagement, and performance outcomes. The position focuses on applied research and analytical problem-solving—not back-end data engineering—and turns data into advice that senior leaders can use to make workforce decisions. The Data Scientist conducts end-to-end analyses, from translating business questions and gathering data through analysis, documentation, and presentation. The role works with enterprise data warehouse and HR systems, partners with HR functions, and communicates findings to HR and business stakeholders. Work may be performed remotely, with preference for qualified candidates able to work occasionally from the Reston, Virginia office. The position requires U.S. citizenship.
Requirements
- Bachelor's degree in a quantitative field and 5 or more years of relevant experience, or a relevant master's degree with up to 3 years of experience, including graduate research or internships.
- Nine or more years of relevant experience may be considered in lieu of a 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 R or Python for data manipulation, analysis, and visualization.
- Ability to accurately interpret analytical results and communicate findings clearly in writing and verbally.
- Strong attention to detail and commitment to accurate, well-documented work.
- Ability to independently manage projects, prioritize effectively, and deliver high-quality results.
- Integrity and discretion when working with sensitive data.
- Must be a U.S. citizen.
Nice To Haves
- Experience in people analytics, organizational behavior, industrial-organizational psychology, or workforce research.
- Exposure to machine learning concepts and practical application through academic projects, internships, or professional experience.
- Experience with Workday reporting and HRIS data structures.
- Familiarity with Alteryx or similar data preparation and workflow automation tools.
- Experience working with HR or employee data in a professional or research setting.
Responsibilities
- Conduct descriptive and diagnostic analyses of workforce data to identify trends, anomalies, and actionable patterns, including attrition hotspots, promotion rates, and engagement shifts.
- Apply hypothesis testing, correlation analysis, regression techniques, and other methods to investigate workforce questions.
- Use SQL to extract, join, transform, and validate data from the enterprise data warehouse and HR systems.
- Translate business questions into structured analytical approaches and deliver end-to-end analyses from scoping through presentation.
- Communicate findings to HR and business stakeholders through visualizations, written summaries, and presentations.
- Partner with HR functions throughout analytics initiatives, from data gathering and exploratory analysis through delivery and documentation.
- Protect the integrity, accuracy, and confidentiality of sensitive workforce data.
Benefits
- Medical benefits
- Dental insurance
- Vision insurance
- Life insurance
- Health savings account
- Short- and long-term disability
- Employee assistance program (EAP)
- Parental leave
- 401(k)
- Paid time off for vacation
- Company-paid holidays
- Employees may be eligible for overtime, shift differential, and a discretionary bonus, depending on the position.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
