Senior Data Scientist, AV & ADAS Analytics

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

Benefits offered by this job

Hybrid work schedule

Competitive compensation

Job summary

General Motors is seeking a Senior Data Scientist for Super Cruise (SC) and ADAS Insights to turn vehicle telemetry, retail-fleet data, engineering data, and customer signals into trusted metrics and actionable recommendations.

You will partner with Product Management, Systems Engineering, Data Engineering, Safety, and Program teams to shape product strategy, prioritization, and launches while building scalable analytical practices across the organization.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent practical experience.
• 5+ years of data science, product analytics, or related experience.
• Strong SQL skills with large, evolving data environments.
• Proficient Python for data prep, analysis, and automation.
• Experience defining metrics and validating datasets.

Responsibilities

• Translate product questions into analyses informing strategy, roadmaps, and investments.
• Define and maintain KPI frameworks for AV, Super Cruise, and ADAS.
• Evaluate product performance across availability, usage, and safety.
• Build dashboards, models, scorecards, and recurring reports.
• Apply causal inference methods and communicate findings to leadership.

Skills

SQL

Python

Data analysis

Observational data

Communication

Autonomy

Education

Bachelor’s degree in a 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 to turn vehicle telemetry, retail-fleet data, engineering data, and customer signals into trusted metrics and actionable recommendations.

You will partner with Product Management, Systems Engineering, Data Engineering, Safety, and Program teams to shape product strategy, prioritization, and launches while building scalable analytical practices across the organization.