Staff Data Science

Job Description

The Role

As a staff scientist you will be responsible for leading one or more AI/ML and data science products while also contributing highly technical work on problems of significant complexity. You will be accountable for translating ambiguous Customer Care and Aftersales (CCA) business challenges into scalable production-grade analytics products that deliver measurable enterprise impact. You will be expected to act as a technical thought leader and expert within the CCA organization.

What Youll Do

• Shape scientific direction and ensure methodological quality and operational robustness used across the suite of products that you are responsible for;
• Grow the technical capabilities of the scientist community within the CCA Applied Analytics organization through exploration of new methods and technologies cross-functional knowledge sharing mentorship internal reviews and establishment of reusable methods and frameworks;
• Drive results on time and within budget managing risks and ensuring methodological and operational quality across products that you oversee to generate significant and measurable business impact;
• Work cross-functionally across data engineering delivery teams software delivery other business units and beyond to drive product development management and results; and
• Influence stakeholders and leaders by translating technical tradeoffs risks and opportunities into clear business decisions.

Your Skills & Abilities (Required Qualifications)

• 6 years leading advanced analytics AI/ML and/or operations research initiatives guiding the methodological and operational work of analytics teams;
• Demonstrated thought leadership surrounding use of innovative methodologies and approaches to solving business problems;
• Demonstrated ability to lead multi-team member initiatives using novel methods resulting in substantial business impact;
• Deep expertise 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.
• Demonstrated ability to frame ambiguous high-value business problems into tractable analytical strategies and measurable outcomes;
• M.S. in operations research engineering computer science applied statistics physics or related field Ph.D. preferred. Equivalent additional experience may substitute for advanced degree.

What Can give You an Edge

• Publications conference talks patents or other generated intellectual property committed open-source work or other external technical recognition;
• Creativity inquisitiveness and a thirst for learning;
• Ability to develop inspire and motivate the team; and
• Strong presentation and communication skills.

About GM

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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.)

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