Senior Data Scientist

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Texas or Warren Michigan 3 days per week (T-W-Th)

The Role We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative team at General Motors LLC. This role will be instrumental in leveraging advanced analytical techniques to drive data-driven decision-making and enhance various aspects of our automotive business.

What You’ll Do

• Lead the design, development, and implementation of complex data science solutions to address business challenges.
• Manage unstructured and multi-structured data
• Design, build, train, and deploy Generative AI and machine learning models to solve predictive and prescriptive problems across various domains.
• Utilize advanced analytics techniques to forecast trends, identify risks, and optimize operational processes.
• Create compelling and informative data visualizations to effectively communicate findings and recommendations to technical and non-technical stakeholders.
• Collaborate closely with engineering, product, and business teams to understand requirements and deliver impactful data science solutions.
• Mentor junior data scientists and contribute to the growth and development of the data science community within GM.

Your Skills & Abilities (Required Qualifications)

• Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a related quantitative field.
• 5+ years of progressive experience in data science or a related analytical role.
• Strong proficiency in Python, Vector databases and similarity search engines.
• Hands-on experience with foundation models (LLMs) for structured reasoning tasks, RAG (Retrieval-Augmented Generation) architecture and implementation, agentic framework design and multi-agent system orchestration, Human-in-the-loop (HITL) workflow design, etc.
• Familiar with Kiro, Agent Strands, Bedrock AgentCore, Bedrock Knowledge Base.
• Demonstrated ability to apply Predictive & Prescriptive Analytics to real-world business problems.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and as part of a collaborative team in a fast-paced environment.

What Will Give You a Competitive Edge (Preferred Qualifications)​

• Ph.D. in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a related quantitative field.
• Automotive experience is a plus.

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Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future. 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 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.

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