Remote Data Scientist, Automotive Safety Analytics

General Motors; Northern (KY); Hybrid; USD 129,000 - 198,000; Full time

Benefits offered by this job

Medical, dental, vision

GM vehicle discounts

Total Rewards resources

Job summary

General Motors is seeking a Data Scientist to lead the development of interactive safety visualizations and automated reporting for the AV Safety Engineering Analytics team. You will own data products, collaborate with safety engineers, analysts, data engineers, and program leaders to translate safety information into clear, trusted visualization tools.

The role spans the full analytics lifecycle—from data modeling to production delivery of continuous up-time visualizations.

Qualifications

• Bachelor’s degree in data science or related field.
• 5+ years in data science, analytics, or data visualization.
• Strong Python and SQL programming.
• Experience building interactive visualizations for large datasets.
• Experience in data modeling and data pipelines.

Responsibilities

• Design and develop interactive safety visualizations for stakeholders.
• Build dashboards and analytical applications for technical and leadership audiences.
• Develop data marts and analytical tables to support reporting.
• Define and curate business logic for metric reporting and uptime.
• Automate reporting with metrics definitions and data lineage.

Skills

Python

SQL

Data visualization

Analytics engineering

Data modeling

Data pipelines

Hourly updates

Statistical testing

Stakeholder collaboration

Education

Bachelor’s degree in data science

Tools

Visualization libraries

Version control

CI/CD

Job description

General Motors is seeking a Data Scientist to lead the development of interactive safety visualizations and automated reporting for the AV Safety Engineering Analytics team. You will own data products, collaborate with safety engineers, analysts, data engineers, and program leaders to translate safety information into clear, trusted visualization tools.

The role spans the full analytics lifecycle—from data modeling to production delivery of continuous up-time visualizations.