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Data Scientist
General Motors. Lead assigned AI, machine learning, or data science workstreams from methodology through delivery .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI, machine learning, and advanced analytics, with a strong focus on developing scalable and maintainable solutions. Proficient in translating complex technical concepts into actionable insights for diverse audiences.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyExperience with LLMs and Deep LearningDatabricks ExpertiseStrong Presentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Advanced AnalyticsMachine LearningOperations ResearchPredictive MethodsPrescriptive MethodsInnovative MethodologiesAnalytical Methods DevelopmentScalable Solution DevelopmentTechnical Tradeoff AnalysisContinuous Technical Growth
Soft Skills
Communication SkillsCollaborationInfluencing Product DecisionsPresentation SkillsStakeholder Engagement
Tools & Technologies
DatabricksCursorGitHubMicrosoft CopilotGleanDatabricks Genie
Industry Keywords
AIMachine LearningData ScienceAnalytical SolutionsBusiness ImpactTechnical RecognitionMultidisciplinary TeamsOperational QualityMethodological DirectionSoftware Products
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Lead assigned AI, machine learning, or data science workstreams from methodology through delivery
- Contribute to product decisions and shape the ideation, design, and development of analytical methods and solutions
- Develop high-quality, methodologically sound, maintainable, scalable, and operationally robust code
- Explore and apply new methods, technologies, and approaches to expand product capabilities
- Deliver results on time while managing risks and maintaining methodological and operational quality
- Partner with data engineering, software delivery, product delivery teams, business units, and other stakeholders
- Translate complex technical concepts, tradeoffs, assumptions, and risks into clear insights and recommendations
- Present workstream progress, findings, and business impact to technical and business audiences
Requirements
What you’ll need- 3+ years working in 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 with meaningful business impact
- Experience across multiple AI/ML and analytics domains, including LLMs, forecasting, deep learning, operations research, and prescriptive and predictive methods
- Expertise in Python and other cloud-based data science platforms; Databricks preferred
- Proficiency in SQL
- Experience with generative AI tools and platforms such as Cursor, GitHub, Microsoft Copilot, Glean, and Databricks Genie
- Strong presentation and communication skills
- M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics, or a related field; equivalent additional experience may substitute for the advanced degree
- 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 demonstrated interest in continuous technical growth
- Experience building reliable, maintainable, scalable, and operationally ready solutions
- Experience working across multidisciplinary teams, including data engineering, software engineering, product delivery, and business stakeholders
- Publications, conference talks, patents, committed open-source work, or other external technical recognition preferred
- Experience presenting complex analytical results and technical tradeoffs to senior leaders and diverse audiences
- Must not require GM immigration sponsorship now or in the future, including H1-B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support
Benefits
Comp & perks- Benefits supporting employee well-being at work and at home
- Total Rewards resources
- Reasonable accommodation support for applicants with disabilities