Senior Data Scientist, AV and ADAS Insights

The Role   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   S enior   Data Scientist ,   S uper 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.   What   You’ll   Do   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   Product teams use a common, trusted view of   performance rather than disconnected or conflicting analyses.   Retail-fleet data becomes a practical input to product strategy, release decisions, regional expansion, and engineering prioritization.   High-value customer and safety problems are quantified, ranked, and connected to specific product or engineering actions.   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.