Data Scientist – Employee Research

General Motors

. Apply organizational research, behavioral science, and advanced analytics to study employee experience, engagement, sentiment, manager and team effectiveness, organizational health, workforce dynamics, and people interventions .

Posted 9/17/2026full-timeWarren • California • United StatesMid-LevelSenior💰 $106,000 - $163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and quantitative research methodologies, with a strong focus on people analytics and organizational research. Proficient in Python, R, and SQL, with the ability to translate complex analyses into actionable insights for non-technical stakeholders.

Highest-signal resume keywords

Data ScienceQuantitative ResearchPeople AnalyticsPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Regression AnalysisHypothesis TestingSurvey MethodologyPsychometricsExperimental DesignCausal InferenceLongitudinal AnalysisMultilevel AnalysisText AnalyticsNLP Analysis

Soft Skills

CommunicationSound Judgment

Tools & Technologies

HRISOrganizational Network AnalysisData Visualization Tools

Certifications & Qualifications

Advanced Degree in Related Field

Industry Keywords

Employee ExperienceEngagementOrganizational HealthWorkforce DynamicsIntervention EvaluationOrganizational Effectiveness

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Apply organizational research, behavioral science, and advanced analytics to study employee experience, engagement, sentiment, manager and team effectiveness, organizational health, workforce dynamics, and people interventions
Partner with Employee Voice, People Analytics Consultants, HR Business Partners, COE leads, and business leaders
Lead research projects from question formulation and study design through analysis, recommendations, and evaluation
Develop reusable research methods and insights
Partner with the solutions team on production ownership of recurring data products, models, and platforms
Frame organizational questions, develop hypotheses, define outcomes, and identify decisions research should inform
Design and execute quantitative and mixed-method studies using survey, cohort, longitudinal, multilevel, experimental, quasi-experimental, and causal methods
Integrate employee, HRIS, talent, performance, movement, operational, open-text, interview, and focus-group data
Conduct driver, segmentation, trend, and linkage analyses
Evaluate people programs, manager initiatives, and organizational changes
Contribute to workforce research and planning through scenario analysis and workforce-risk indicators
Establish use cases, data requirements, methods, and governance for Organizational Network Analysis
Assess emerging methods including text analytics and artificial intelligence
Translate findings into recommendations, decision options, and measures of progress
Produce research briefs, executive presentations, evaluation readouts, measurement frameworks, and analytical documentation
Maintain reproducible, well-documented work through version-controlled code, transparent assumptions, quality checks, and clear limitations

Requirements

What you’ll need

Experience in data science, quantitative research, people analytics, organizational research, behavioral science, or a related field
Strong Python or R skills
Proficiency in SQL for data wrangling, statistical analysis, and reproducible research
Expert knowledge of regression, hypothesis testing, survey methodology, psychometrics, experimental and quasi-experimental design, causal inference, and longitudinal or multilevel analysis
Experience leading end-to-end research or analytical projects, from problem formulation through communication of findings
Ability to explain complex analyses to non-technical audiences
Sound judgment with sensitive employee data
Advanced degree or equivalent applied research experience in Industrial-Organizational Psychology, Organizational Behavior, Behavioral Science, Sociology, Economics, Statistics, Data Science, Psychometrics, or a related field
Experience with employee surveys, engagement and sentiment, performance, movement, retention, talent, workforce planning, or lifecycle data
Experience with intervention evaluation, longitudinal or panel analysis, multilevel modeling, mixed methods, text or NLP analysis, or Organizational Network Analysis
Experience with workforce planning, scenario modeling, organizational effectiveness, manager and team research, organizational development, or change evaluation
Must not require GM immigration sponsorship now or in the future

Benefits

Comp & perks

Bonus potential through an incentive pay program based on company performance, job level, and individual performance
Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
No relocation benefits; relocation costs are the selected candidate’s responsibility