Data Scientist - Talent Analytics & Organizational Research

Peraton; United States; Hybrid; USD 66,000 - 106,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

HSA

Disability insurance

EAP

Parental leave

401(k)

Paid time off

Job summary

Peraton is seeking a Data Scientist to join our Talent Analytics & Insights team. You will apply quantitative skills in data analysis, hypothesis testing, and research design to workforce questions such as attrition, planning, mobility, engagement, and performance outcomes.

You will communicate findings to senior leaders with visuals and clear summaries. Remote work is possible, with preference for occasional work from Reston, VA.

Qualifications

• Bachelor's degree in a quantitative field with 5+ years of experience, or Master's with up to 3 years of experience.
• 9+ years of experience may be considered in lieu of degree.
• Solid grounding in statistics, including hypothesis testing, correlation, and regression modeling.
• Proficiency in SQL for querying and manipulating relational data.
• Proficiency in R or Python for data manipulation, analysis, and visualization.
• Ability to communicate analytical results clearly in writing and speech.
• Attention to detail and ability to manage projects independently.
• US citizenship.

Responsibilities

• Conduct descriptive and diagnostic analyses of workforce data to surface trends and patterns.
• Apply hypothesis testing, correlation analysis, and regression techniques to workforce questions.
• 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.
• Communicate findings to HR and business stakeholders with visualizations and summaries.
• Partner with HR functions throughout analytics initiatives from data gathering to documentation.
• Ensure the integrity and confidentiality of sensitive workforce data.

Skills

Statistics

SQL

R/Python

Communication

Education

Bachelor's or Master in quantitative field

Tools

Workday reporting

Alteryx

HRIS data structures

Job description

About Peraton

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 solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.

About The Role

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

Details

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.

Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.