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Staff Data Scientist
General MotorsStaff Data Scientist at GM developing analytical solutions and leading analytics initiatives. Collaborating with a diverse team to drive analytics in global operations from the Warren location.
Posted 7/20/2026full-timeWarren • Missouri • 🇺🇸 United StatesLead💰 $184,100 - $233,300 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in developing and validating advanced analytical models, with a strong foundation in statistics, econometrics, and forecasting. Proven ability to translate complex data into actionable business insights while ensuring model integrity and effectiveness.
Highest-signal resume keywords
Statistics ExpertiseEconometrics ProficiencyPredictive Modeling SkillsAdvanced Programming SkillsData Fluency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Statistical AnalysisModel DevelopmentForecasting TechniquesData Pipeline DevelopmentReproducible WorkflowsModel ValidationUncertainty QuantificationPerformance MonitoringAnalytical MethodologiesAnalytical Tool Architecture
Soft Skills
Communication SkillsJudgment in Model ComparisonProblem-Solving AbilityStakeholder ManagementBusiness Process Understanding
Certifications & Qualifications
Ph.D. in Technical DisciplineBachelor’s Degree in Technical Discipline
Industry Keywords
Advanced AnalyticsAnalytic ModelsData AnalysisBusiness Decision-MakingOperational ConstraintsForecasting ApproachesStatistical RigorEconomic SignalsModel EffectivenessClient Specifications
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Developing industry leading analytics solutions
- Assessing existing analytic models and architectures, reviewing for gaps against business needs and industry best practices
- Identifying detailed data needs, sources, and structure to support solution development
- Determining the analytic approaches to be used and defining and applying the appropriate methodologies
- Employing Proof-of-Concepts for exploratory and targeted data analyses, leading to breakthrough solutions
- Ensuring integrity of the analytical solutions in terms of the underlying statistical and economic models and assumptions
- Designing and developing project-specific models.
- Architecting analytical tools to productionize cloud-based analytical models
- Monitoring and sustaining model effectiveness
Requirements
What you’ll need- 10+ years of experience in statistics, econometrics, forecasting, advanced analytics, or related quantitative fields
- Bachelor’s degree AND Ph.D. required in a technical discipline, such as statistics, mathematics, computer science, economics, operations research, or a related quantitative field
- Deep expertise in statistics, econometrics, forecasting, and predictive modeling
- Strong command of model development, model validation, uncertainty quantification, and performance monitoring
- Demonstrated ability to connect methodological choices to business decisions, operational constraints, and end-user impact
- Advanced programming skills for analytical model development, data pipelines, and reproducible workflows
- Strong data fluency across structured, time-series, and panel-style analytical data
- Significant experience building or overseeing forecasting approaches used for planning, scenario evaluation, or business decision-making
- Ability to translate economic, operational, or market signals into robust forecasting frameworks
- Experience balancing statistical rigor with practical constraints, data limitations, and stakeholder timelines
- Strong judgment in model comparison, feature selection, assumption management, and interpretation of results
- Ability to understand complex business processes, and how business value is created.
- Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information.
- Ability to communicate analyses, status, results, and recommendations to business management and executives in business terms.
Benefits
Comp & perks- 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