Data Scientist – Employee Research

Company: Gm

Location: Warren, Michigan, United States of America (Remote)

Salary: $106k - $163k per year

Type: Full-time

Remote: Yes

Posted: 2026-09-17

About this role

Job Description

The Data Scientist – Employee Research applies organizational research, behavioral science, and advanced analytics to study employee experience, engagement and sentiment, manager and team effectiveness, organizational health, workforce dynamics, and the impact of people interventions.

The role sits within People Analytics and partners with Employee Voice, People Analytics Consultants, HR Business Partners, COE leads, and business leaders. The Data Scientist leads research projects from question formulation and study design through analysis, recommendations, and evaluation. The role develops reusable research methods and insights and partners with the solutions team on the production ownership of recurring data products, models, and platforms.

Main responsibilities include:

A. Organizational research and scientific inquiry

  • Frame organizational questions, develop hypotheses, define outcomes, and identify the 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 where appropriate.
  • Study drivers and consequences of employee experience, including team, manager, workforce, and organizational factors.

B. Applied workforce research and emerging methods

  • Conduct driver, segmentation, trend, and linkage analyses to explain engagement and sentiment and identify actionable factors as well as relative business impact.
  • Evaluate people programs, manager initiatives, and organizational changes by defining outcomes, baselines, comparison groups, and follow-up measures.
  • Contribute to workforce research and planning through scenario analysis, workforce-risk indicators, and analysis of workforce supply, demand, capability, and movement.
  • Establish foundational use cases, data requirements, ...

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