Data Scientist – Talent Analytics, Organizational Research

Peraton

. Conduct descriptive and diagnostic analyses of workforce data to surface trends, anomalies, and actionable patterns .

Posted 11/6/2026full-timeReston • Virginia • United StatesMid-LevelSenior💰 $80,000 - $128,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in conducting descriptive and diagnostic analyses of workforce data using statistical methods, SQL, and programming languages such as R or Python. Proven ability to communicate analytical findings effectively to stakeholders while ensuring data integrity and confidentiality.

Highest-signal resume keywords

SQL ProficiencyStatistical AnalysisData VisualizationProject ManagementCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Hypothesis TestingCorrelation AnalysisRegression TechniquesData ExtractionData TransformationData ValidationData ManipulationData AnalysisData AggregationStatistical Modeling

Soft Skills

Attention to DetailIntegrityDiscretionIndependent Project ManagementEffective Prioritization

Tools & Technologies

RPythonSQLEnterprise Data WarehouseHR Systems

Industry Keywords

Workforce DataAttrition DriversWorkforce PlanningEmployee EngagementPerformance Outcomes

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Conduct descriptive and diagnostic analyses of workforce data to surface trends, anomalies, and actionable patterns
Apply hypothesis testing, correlation analysis, regression techniques, and other methods to answer workforce questions
Extract, join, transform, and validate data from the 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 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
Ensure the integrity, accuracy, and confidentiality of sensitive workforce data
Support investigations into attrition drivers, workforce planning, internal mobility, employee engagement, and performance outcomes
Develop increasingly sophisticated models and analyses that provide actionable advice for senior workforce decisions

Requirements

What you’ll need

Bachelor's degree in a quantitative field 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 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

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays
Potential eligibility for overtime
Potential eligibility for shift differential
Potential eligibility for a discretionary bonus