Senior Data Scientist - Hazard Monitoring

General Motors; Warren (MI); Hybrid; USD 110,000 - 160,000; Full time

Job summary

General Motors is seeking a Data Scientist focused on hazard monitoring to join the Product Safety Data Analytics team in Warren, MI. This role emphasizes statistical analysis, automation, and scalable analytics to identify and monitor vehicle safety issues.

You will work with partners to deliver actionable results, apply time series and multivariate analyses, and develop automated data workflows while mentoring teammates.

Qualifications

• Bachelor's degree in a quantitative field required.
• 5+ years in applied statistics, analytics, or data science.
• Strong Python/SQL and experience with large datasets.
• Experience with time series, multivariate analysis, and anomaly detection.
• Ability to communicate results to senior leadership.

Responsibilities

• Develop monitoring for emerging safety issues.
• Perform statistical analyses and automate workflows.
• Design scalable automated analytical tools.
• Mentor teammates and present findings to stakeholders.

Skills

Python

SQL

Statistical analysis

Time series analysis

Data visualization

Communication to leadership

Education

B.S. in Statistics

M.S. in Statistics

Tools

Databricks

Data pipelines

Automation tools

Job description

General Motors is seeking a Data Scientist focused on hazard monitoring to join the Product Safety Data Analytics team in Warren, MI. This role emphasizes statistical analysis, automation, and scalable analytics to identify and monitor vehicle safety issues.

You will work with partners to deliver actionable results, apply time series and multivariate analyses, and develop automated data workflows while mentoring teammates.