Senior Data Scientist, AV and ADAS Insights

General Motors; Mountain View (CA); Hybrid; USD 107,000 - 193,000; Full time

Job summary

General Motors is seeking a Senior Data Scientist to partner with product and engineering teams to turn vehicle telemetry and customer behavior into actionable insights. You will develop KPI frameworks for Super Cruise and ADAS, evaluate feature usage and safety metrics, and build dashboards that drive product strategy.

This is a high-impact, autonomous role with cross-functional influence. The ideal candidate has 5+ years in data science, strong SQL and Python skills, and experience with

Qualifications

• Bachelor’s degree or equivalent in a quantitative field; master’s preferred.
• 5+ years in data science, product analytics, or related field.
• Expert SQL skills and experience with large, evolving data environments.
• Strong Python for data prep, analysis, and automation.
• Proven ability to define metrics, validate datasets, and explain limitations.
• Experience using observational data to evaluate product performance.

Responsibilities

• Partner with Product Management to translate questions into analyses informing strategy and roadmap.
• Define and maintain KPI frameworks for AV, Super Cruise and ADAS products.
• Evaluate product performance, identify drivers, risks, and opportunities.
• Build datasets, models, dashboards, and self-service tools linking vehicle data to insights.
• Investigate data quality issues and address gaps with engineering and data teams.
• Apply causal inference methods and communicate findings to leadership.

Skills

SQL

Python

Data analysis

Communication

Experiment design

Education

Bachelor's in Data Science/Statistics/CS

Master's preferred

Tools

Databricks

Spark

Power BI

Tableau

Job description

Job Description

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 aSeniorData Scientist,Super Cruise (SC)andAssisted 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 autonomyproductsand 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, andestablishanalytical practices that scale across the organization.

WhatYou’llDo

• Partner with Product Management to translate product questions into analyses that inform strategy, roadmaps, requirements, prioritization, investments, and launch decisions.

• Define andmaintaintrusted KPI frameworks forAV,Super Cruise and ADAS, including metric definitions, assumptions, data lineage, limitations, baselines, thresholds, andappropriate useof engineering and retail-fleet data.

• Evaluate product performance across availability, usage, effectiveness, customer value, and experience,identifyingdrivers, 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.

HowYou’llMake an Impact

• Product teams use a common, trusted view ofperformance 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 withappropriate privacy,access-control, regulatory, and data-retention considerations.

• Decision-makersreceive 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.

• 5or more years of experience in data science, product analytics, applied statistics, or a closely related field.

• Expert-level SQL skills and strong experience working with large, complex, evolving data environments.

• Strong Python skills for data preparation, exploratory analysis, statistical analysis, visualization, automation, and reproducible analytical workflows.

• Demonstrated experience defining metrics,validatingdatasets,identifyingdata-quality issues, and explaining analytical limitations.

• Experience using observational data to evaluate product performance, customer behavior, feature adoption, reliability, safety, or operational outcomes.

• Demonstrated ability to translate ambiguous product or business questions into rigorous analysis and actionable recommendations.

• Experience influencing product roadmaps, prioritization, investment decisions, launch decisions, or requirements through data and analysis.

• Strong written and verbal communication skills, including the ability to explain technical concepts and uncertainty to non-technical stakeholders.

• Ability tooperatewith substantial autonomy, exercise sound judgment, and deliver results across multiple teams without direct reporting authority.

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

• Establish a trusted analytical partnership with SC Product Management and Systems Engineering.

• Deliver a prioritized set of SC performance insights that directlyinformsroadmap or investment decisions.

• Improve the definition, validation, or usability of key SC topline and trust-eroding-behaviormetrics.

• Establish repeatable release-over-release and retail-fleet performance analyses for agreed priority metrics.

• Contribute analytical evidence to at least one launch, regional expansion, or majorsoftware-releasedecision.

• Identifymaterial gaps in data, instrumentation, sampling, or metric quality and drive practical resolutions with partner teams.

• Create reusable analytical assets that reduce ad hoc work and improve product-team self-service.

• Extend the approach to one or more Active Safety or Assisted Driving use cases.

Hybrid: This role is categorized ashybrid. This means the successful candidate is expected to report to theSunnyvale, 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.

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).

About GM

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