Staff Data Scientist

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

The Role We are seeking an expert-level professional to join our innovative team at General Motors LLC. As a Staff Data Scientist at General Motors LLC, you will leverage advanced analytical techniques to drive strategic decision-making and innovation across various business units. You will be instrumental in transforming complex data into actionable insights, directly impacting product development, operational efficiency, and customer experience.

What You’ll Do

• Work with cross-functional teams to discover actionable, high-impact data analytics needs and opportunities and develop industry-leading analytics solutions in a variety of core business areas.
• Define technical architecture and design patterns and ensure engineering best practices
• Lead the design, development, and implementation of complex data science solutions to address business challenges; and own technical debt management and system scalability
• 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.
• 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.

• 10+ years of progressive experience in data science or a related analytical role.

• Strong proficiency in Python, Vector databases and similarity search engines.

• Deep understanding and 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.

• Proven expertise in applying Predictive & Prescriptive Analytics to real-world business problems, including:• 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.

• Evidence of being able to transfer solutions to business stakeholders for successful adoption and value realization.

• Highly collaborative work style, with ability to provide leadership to a cross-functional team and working well under uncertainties.

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 - 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.

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