Senior Data Scientist, AV and ADAS Insights

General Motors LLC; Sunnyvale (CA); Hybrid; USD 116,000 - 193,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Health Savings Account

Retirement savings plan

Paid vacation & holidays

GM vehicle discounts

Job summary

General Motors is seeking a data scientist to partner with Product Management in Sunnyvale/Mountain View, CA, translating product questions into analyses that inform strategy, roadmaps, and investments. You’ll define KPI frameworks for AV and ADAS, evaluate performance, and build dashboards linking vehicle, safety-event, and usage data.

You will use observational data, apply causal methods, and communicate insights to senior leaders.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent practical experience
• 5+ years in data science, product analytics, or related field
• Expert-level SQL skills with large, complex data environments
• Strong Python skills for data prep, analysis, visualization, automation
• Experience defining metrics and validating datasets; data-quality awareness
• Experience using observational data to evaluate product performance
• Ability to translate questions into rigorous analysis and actionable recommendations
• Experience influencing product roadmaps and investments through data

Responsibilities

• Partner with Product Management to translate product questions into analyses for strategy and roadmaps
• Define and maintain KPI frameworks for AV, Super Cruise and ADAS
• Evaluate product performance across availability, usage, and customer value
• Build datasets, models, dashboards, and reports linking vehicle and driver data
• Investigate data-quality issues with engineering and data teams
• Apply causal-inference methods and communicate findings to stakeholders

Skills

SQL

Python

Data analysis

Translate questions to analysis

Communication

Autonomy

Observational data experience

Causal inference

Influence roadmaps/investments

Education

Bachelor's degree in Data Science/Statistics/CS/Engineering

Master's degree preferred

Tools

Databricks/Spark

Azure/GCP

Power BI/Tableau/Looker

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.

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.
• 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, 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.
• 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 to operate with 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 directly informs roadmap or investment decisions.
• Improve the definition, validation, or usability of key SC topline and trust-eroding-behavior metrics.
• 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 major software-release decision.
• Identify material 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 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

• 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

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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