Staff Data Scientist

Posted 6 Days Ago
Be an Early Applicant
Warren, MI, USA
Hybrid
184K-233K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Lead development and productionization of advanced forecasting and predictive models: assess existing analytics, define data needs, design methodologies, run proofs-of-concept, architect cloud-based model deployments, and monitor model performance while translating results for business stakeholders.
Summary Generated by Built In
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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About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

  • 10+ years of experience in statistics, econometrics, forecasting, advanced analytics, or related quantitative fields
  • Bachelor's degree AND Ph.D. in a technical discipline (statistics, mathematics, computer science, economics, operations research, or related)
  • 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 propose analytic strategies that create business value
  • Ability to create structured problem statements and conceptualize potential solutions from rough client specifications
  • Ability to communicate analyses, status, results, and recommendations to business management and executives in business terms
  • Automotive industry experience
  • Recognized subject matter expertise with track record of leading large, visible, cross-functional analytical efforts
  • Strong listening and communications skills, with ability to explain complex problems to non-expert and executive audiences
  • Highly collaborative work style with ability to lead cross-functional teams
  • Comfort working under uncertainty and commitment to continuous learning

What the Team is Saying

Kendra
Brady
Eseme Owoseni
Emrik
Divya
Navya
Yousuf
Eseme
Charles
Antonino Destasi
Jeremiah Hamlin
Victoria
Matt Zebiak
Sri
Jeremiah

General Motors Compensation & Benefits Highlights

  • Retirement Support U.S. employees are eligible for a 401(k) with a 4% automatic company contribution plus up to a 6% match on employee deferrals, creating a potential 10% from GM on top of personal savings. Recent agreements for hourly groups reference increased company contributions to defined-contribution plans.
  • Healthcare Strength GM highlights comprehensive medical coverage, company‑paid life insurance and disability, and added programs like Hinge Health for digital musculoskeletal therapy. UAW‑represented hourly workers retained premium‑free healthcare in the 2023 agreement.
  • Parental & Family Support Policies include 12 weeks of paid parental leave after one year, caregiving assistance, mental‑health resources, and recognition of domestic partners in eligibility. Family‑building support lists fertility, surrogacy, and adoption assistance with a combined lifetime maximum around $40,000.

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
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