Data Scientist - Talent Analytics & Organizational Research

Peraton is a national security and enterprise IT company delivering mission-critical solutions and technologies. The Data Scientist will use statistical analysis, research design, SQL, and programming to investigate workforce questions and support talent-related decisions. The role also involves communicating findings to HR and business stakeholders while ensuring the integrity and confidentiality of sensitive workforce data.

Responsibilities:

• 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

Requirements:

• • 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
• • 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