Note: The job is a remote job and is open to candidates in USA. Peraton is a next-generation national security company and transformative enterprise IT provider serving government agencies and the U.S. armed forces. The company is seeking a Data Scientist to support talent analytics and organizational research by analyzing workforce data, applying statistical methods, and translating findings into actionable guidance for HR and senior business leaders.
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
Skills
- 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
Benefits
- Work may be performed remotely.
- Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Company Overview