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Data Scientist - Product Safety Data Analytics

Warren, Michigan, United States of America💼 Full-time🗓 2026-09-03 → 2026-09-29

Core

Develop and improve analytical solutions to identify, monitor, and analyze potential emerging vehicle safety issues using statistical analysis and automation.

Role type

Data Scientist (Product Safety)

Builds

Automated analytical workflows, monitoring tools, and visualizations for safety investigations.

Domain

Automotive / Vehicle Safety

Deliverable

production ML models | dashboards & analysis

Required skills

statistical data analysis, Python, SQL/Spark, data mining, visualization tools, data pipeline management, anomaly detection, root cause analysis

Preferred skills

vehicle development experience, safety investigation support, GM data ecosystem knowledge, NLP, cloud technology stack

Technologies

Python, SQL, Spark, Databricks, Power BI, Tableau

Responsibilities

Develop best practices for continuous monitoring of emerging safety issues; analyze signals and trends in large datasets to identify safety issues; design and maintain repeatable analytical workflows; prepare visualizations and presentations for senior leadership; support anomaly detection and diagnostics for safety-related topics.

Seniority

Mid-level, hands-on IC

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