Job Description
General Motors is building the next generation of software-defined vehicles and advanced driver-assistance experiences. The success of these products depends on understanding how they perform in the real world, how customers experience them, and where product and engineering investment will create the greatest benefit.
As a Senior Data Scientist, Super Cruise (SC) and Assisted Driving and Active Safety (ADAS) Insights, you will be a hands-on technical and strategic partner to Product Management, Systems Engineering, Data Engineering, Safety, and Program teams. You will turn complex vehicle telemetry, retail-fleet data, engineering data, and customer-behavior signals into trusted metrics, actionable insights, and clear recommendations that shape product strategy and prioritization.
You will help product teams understand feature availability, usage, evaluate feature availability, utilization, safety performance, reliability, customer acceptance, and trust-related behaviors across Super Cruise, advanced autonomy products and ADAS products.
This is a senior individual-contributor role for someone who can independently frame ambiguous problems, develop rigorous analyses, influence decisions without formal authority, and establish analytical practices that scale across the organization.
Partner with Product Management to translate product questions into analyses that inform strategy, roadmaps, requirements, prioritization, investments, and launch decisions.
Define and maintain trusted KPI frameworks for AV, Super Cruise and ADAS, including metric definitions, assumptions, data lineage, limitations, baselines, thresholds, and appropriate use of engineering and retail-fleet data.
Evaluate product performance across availability, usage, effectiveness, customer value, and experience, identifying drivers, tradeoffs, risks, opportunities, regressions, and regional or population-level differences.
Build integrated datasets, models, dashboards, scorecards, recurring reports, and self-service tools that connect vehicle, driver, safety-event, trip, crash, and operating-context data to support ongoing monitoring and action.
Investigate unexpected trends and data-quality issues, partnering with engineering and data teams to address gaps in signals, triggers, decoding, sampling, instrumentation, and data availability.
Apply sound statistical and causal-inference methods to vehicle data, evaluations, feature rollouts, and constrained experiments, and communicate findings and recommendations effectively across technical teams, cross-functional forums, and senior leadership.
How You’ll Make an Impact
Retail-fleet data becomes a practical input to product strategy, release decisions, regional expansion, and engineering prioritization.
Product teams can distinguish true performance changes from changes in data coverage, instrumentation, fleet mix, software releases, or analytical definitions.
New metrics and data use cases are developed with appropriate privacy, access-control, regulatory, and data-retention considerations.
Decision-makers receive clear narratives that explain what changed, why it matters, what is uncertain, and what should happen next.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline, or equivalent practical experience. A master’s degree is preferred.
5 or more years of experience in data science, product analytics, applied statistics, or a closely related field.
Strong Python skills for data preparation, exploratory analysis, statistical analysis, visualization, automation, and reproducible analytical workflows.
Demonstrated experience defining metrics, validating datasets, identifying data-quality issues, and explaining analytical limitations.
Experience using observational data to evaluate product performance, customer behavior, feature adoption, reliability, safety, or operational outcomes.
Experience influencing product roadmaps, prioritization, investment decisions, launch decisions, or requirements through data and analysis.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience working with automotive, connected-vehicle, ADAS, autonomous-driving, robotics, mobility, or other safety-critical products, including vehicle telemetry, sensor and fleet data, operational statistics, event recording, and driver-assistance systems such as Super Cruise.
Experience with Databricks, Spark, Azure, GCP, Power BI, Tableau, Looker, or comparable data and visualization platforms.
Experience with metric catalogs, data contracts, data governance, instrumentation strategy, data sampling, human labeling, or analytical quality standards.
Experience with causal inference, quasi-experimental methods, rollout analysis, survival or reliability analysis, hierarchical modeling, or other methods appropriate for real-world product data.
Experience working with privacy, legal, regulatory, or data-access constraints in the development of customer or vehicle-data use cases.
What Success Looks Like in the First 12 Months
Identify material gaps in data, instrumentation, sampling, or metric quality and drive practical resolutions with partner teams.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale, CA or Mountain View, CA office three times per week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $106,600 to $192,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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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 now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).




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