Data Scientist - Talent Analytics & Organizational Research

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.

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

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. Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application StatementsThe application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.