Senior Data Scientist, AV & ADAS Insights

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

Benefits offered by this job

Health insurance

Retirement savings plan

GM vehicle discounts

Job summary

General Motors is seeking a Senior Data Scientist for Super Cruise (SC) and ADAS insights in the California Bay Area. You will turn vehicle telemetry, retail-fleet, and customer signals into trusted metrics and actionable recommendations shaping product strategy.

You’ll own KPI frameworks, analyze product performance, and build scalable data assets, reports, and self-service tools across multiple teams, with autonomy and strong communication to senior leadership.

Qualifications

• Bachelor's degree in Data Science, Statistics, CS, Economics, or related field; master's preferred.
• 5+ years of experience in data science, product analytics, or related field.
• Expert SQL skills with large, complex data environments.
• Strong Python skills for data prep, analysis, visualization, automation.
• Experience defining metrics, validating datasets, and data quality issues.
• Experience using observational data to evaluate product performance.
• Ability to translate ambiguous questions into rigorous analysis and recommendations.
• Experience influencing roadmaps, investments, or launch decisions through data.
• Strong written and verbal communication; able to explain uncertainty to non-technical stakeholders.
• Ability to operate with autonomy and deliver across multiple teams.

Responsibilities

• Partner with Product Management to translate questions into analyses guiding strategy and investments.
• Define and maintain KPI frameworks for AV, SC, and ADAS with data lineage and baselines.
• Evaluate product performance across availability, usage, and customer value; identify drivers and risks.
• Build datasets, models, dashboards, scorecards, and self-service tools across vehicle, safety, and context data.
• Investigate data-quality issues and address gaps with engineering and data teams.
• Apply statistical and causal-inference methods and communicate findings to leadership.

Skills

SQL

Python

Data science

Metric definitions

Observational data analysis

Communication

Autonomy

Causal inference

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Databricks

Spark

Azure

GCP

Power BI

Tableau

Looker

Job description

General Motors is seeking a Senior Data Scientist for Super Cruise (SC) and ADAS insights in the California Bay Area. You will turn vehicle telemetry, retail-fleet, and customer signals into trusted metrics and actionable recommendations shaping product strategy.

You’ll own KPI frameworks, analyze product performance, and build scalable data assets, reports, and self-service tools across multiple teams, with autonomy and strong communication to senior leadership.