Data Scientist

General Motors; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

General Motors in the United States seeks an L6 Data Scientist to lead AI/ML workstreams supporting Sales, Brand & Dealer. You will build deep technical expertise and influence product decisions while delivering high-impact analytics solutions.

You will collaborate with data engineering, software delivery, and business teams to translate complex methods into actionable insights, while delivering code that is scalable, maintainable, and production-ready.

Qualifications

• 3+ years working in advanced analytics, AI/ML and/or operations research initiatives.
• Experience with multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, OR, prescriptive & predictive methods).
• Excellent presentation and communication skills.

Responsibilities

• Lead execution of AI/ML/data science workstreams from methodology through delivery.
• Contribute to product decisions and shape ideation, design, and development of analytical methods.
• Develop high-quality, maintainable, scalable production-ready code.
• Explore new methods and technologies to expand product capabilities.
• Deliver results on time while managing risks and quality.
• Partner with data engineering, software delivery, product teams and stakeholders to drive outcomes.
• Translate technical concepts into clear insights and recommendations.

Skills

AI/ML experience

Python

Databricks

SQL

Generative AI

Communication

Education

MS/PhD in operations research, engineering, CS, applied statistics, economics, physics, or related field

Tools

Python

Databricks

SQL

Job description

Job Description

The Role

As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of one or more workstreams within an AI, machine learning, or data science product. You will build deep technical expertise under the guidance of the product’s lead scientist while actively contributing to product decisions, methodological direction, and the development of high-impact solutions.

What You Will Do

• Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery.
• Contribute to product decisions and help shape the ideation, design, and development of analytical methods and solutions.
• Develop high-quality code that is methodologically sound, maintainable, scalable, and operationally robust.
• Explore and apply new methods, technologies, and approaches to expand the product’s technical capabilities.
• Deliver results on time while managing risks and maintaining methodological and operational quality.
• Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes.
• Translate complex technical concepts, tradeoffs, assumptions, and risks into clear insights and recommendations for stakeholders and leaders.
• Present workstream progress, findings, and business impact to technical and business audiences.

Your Skills and Abilities (Required Qualifications)

• 3+ years working in the field of advanced analytics, AI/ML and/or operations research initiatives, developing and integrating analytical methods into software products;
• Demonstrated use of innovative methodologies and approaches to solving business problems, resulting in meaningful business impact;
• Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.);
• Expertise in Python and other cloud-based data science platforms (Databricks preferred), and proficiency in SQL;
• Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, etc.;
• Strong presentation and communication skills;
• M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics, or related field.
• Equivalent additional experience may substitute for advanced degree.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience contributing to AI, machine learning, or data science products from concept through production delivery.
• Experience influencing product decisions and shaping methodological direction.
• Breadth across modern data science methods, tools, and technologies, with a demonstrated interest in continuous technical growth.
• Experience building solutions that are reliable, maintainable, scalable, and operationally ready.
• Experience working across multidisciplinary teams, including data engineering, software engineering, product delivery, and business stakeholders.
• Demonstrated ability to connect technical work to measurable business impact.
• Publications, conference talks, patents or other generated intellectual property, committed open-source work, or other external technical recognition preferred.
• Experience presenting complex analytical results and technical tradeoffs to senior leaders and diverse audiences.

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.

Benefits Overview

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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.

Accommodations

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Other Information

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

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