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Data Scientist – Employee Research

  • 위치
    • Mountain View, California
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202618536

설명

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, methods, and governance for Organizational Network Analysis and related research on collaboration, influence, connectivity, and change.
  • Assess emerging methods, including text analytics and artificial intelligence, when they address a defined research or business need.

C. Insight translation and research quality

  • Translate findings into clear recommendations, decision options, and measures of progress for technical and non-technical audiences.
  • Produce research briefs, executive presentations, evaluation readouts, measurement frameworks, and analytical documentation.
  • Partner with stakeholders to shape questions, challenge assumptions, and connect evidence to action.
  • Maintain reproducible, well-documented work through version-controlled code, transparent assumptions, quality checks, and clear limitations.

Basic qualifications

  • Experience in data science, quantitative research, people analytics, organizational research, behavioral science, or a related field.
  • Strong Python or R skills and 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 and exercise sound judgment with sensitive employee data.

Preferred qualifications

  • 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.
  • Demonstrated ability to shape research questions, influence HR or business leaders, and translate evidence into responsible action.

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws.

The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

  • The salary range for this role is $106,000-$163,000 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

이 직무는 재택 기반이지만, 선발된 지원자가 GM 허브에서 특정 거리 이내에 거주하는 경우 주 3회 {또는 관리자가 지정한 다른 빈도로} 출근해야 합니다.

이 직무는 리로케이션 혜택을 받을 수 없습니다. 모든 리로케이션 관련 비용은 최종선정 된 지원자가 부담해야 합니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.