Senior Data Scientist

Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

The Role

The Global Engineering Operations & Specifications (GEOS) AI Partnerships & Implementation team is dedicated to executing AI and data science initiatives that transform General Motors' approach to vehicle engineering. As part of this team, the individual will collaborate with experts who possess deep knowledge of GM's engineering systems, processes, and data. Leveraging a comprehensive data science toolkit and an innovative mindset, the individual will contribute to ideation and execution of projects aimed at improving engineering efficiency across the organization. Core responsibilities include engaging with stakeholders to understand and frame technical challenges, designing and implementing new data pipelines, developing Artificial Intelligence and Machine Learning (AI/ML) solutions, and creating user interfaces that support seamless integration and direct decision-making.

What You'll Do

• Work as a member of a cross-functional team to propose and implement high-impact data driven analytic solutions that address challenges for engineering teams
• Apply Data Science and Modeling techniques to drive data driven decision making and solve complex problems:
  • Build predictive/prescriptive models and machine-learning algorithms
  • Analyze large amounts of diverse information to discover trends and patterns
  • Undertake preprocessing of structured and unstructured data
  • Monitor and sustain model effectiveness
  • Present complex information using data visualization techniques
• Work with diverse technical teams to provide analytical dataset pipelines and user interfaces to ensure project deliverables fulfill business needs and timing
• Create technical documents for models and processes
• Present complex information using data visualization techniques and data storytelling
• Create repeatable and scalable code and processes for improving development/execution efficiency.

#LI-LP2

Additional Description

What You'll Need (Required Qualifications)

• Bachelors Degree in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics or another quantitative field
• Minimum five years of industry experience as a Data Scientist developing, deploying, and monitoring performance of large analytic data sets and machine learning based models
• Tool Proficiencies:
  
  
  • Python or similar coding languages
  • SQL, Spark, or similar querying languages
  • Power BI, Tableau, or similar visualization tools
  • DataBricks or similar Data Lake technology platforms
• Capable of working with diverse technical teams to produce analytical datasets for analysis
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
• Strong listening and communications skills
• Highly collaborative work style
• Ability to evaluate the big picture and provide meaningful business insights and actions
• This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Master's/Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
• Domain knowledge of engineering processes & data (part release, change management, issue resolution, validation)
• Experience building web apps in frameworks like Dash, Streamlit, or similar

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.)

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 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.

Client-provided location(s): Warren, MI

Job ID: General_Motors-JR-202513340

Employment Type: FULL_TIME

Posted: 2025-08-09T04:08:32