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, 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.)

Ce poste est basé à distance, mais si le candidat sélectionné habite à une distance donnée d'un centre GM, il devra se rendre sur place trois fois par semaine {ou à une autre fréquence exigée par son responsable}.

Ce poste ne donne pas droit à des indemnités de déménagement. Les éventuels frais de déménagement seront à la charge du candidat retenu.

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.