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Staff Data Scientist

  • Location
    • Warren, Michigan
  • Job Type Full time
  • Posted
  • Job Requisition JR-202613201

Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

This is a unique opportunity to become part of a diverse team comprising advanced analytics professionals. Together, we spearhead the discovery of opportunities and craft solutions, advancing analytics initiatives across our global operations. This role applies leading analytic practices and methods, designs and leads iterative development and learning cycles, and ultimately produces new and creative analytic solutions that become part of the operating fabric of the global enterprise.

What You'll Do

  • Developing industry leading analytics solutions including:
    • 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

Your Skills & Abilities (Required Qualifications)

  • 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. Based on that knowledge, propose analytic strategies and solutions that challenge and expand the thinking of the working team.
  • 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.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Automotive experience
  • Recognized subject matter expertise with a track record of leading large, visible, cross-functional analytical efforts
  • Strong listening and communications skills, with ability to clearly and concisely explain complex problems and technologies to non-expert and executive audiences.
  • Highly collaborative work style, with ability to provide leadership to a cross-functional team.
  • Working well under uncertainties.
  • Commitment to constant learning to expand skills and keep pace with industry advances.

This job may be eligible for relocation benefits.

Compensation: 

  • The expected base compensation for this role is: $184,100 - $233,300. Actual base compensation within the identified 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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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Why Join Us 

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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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