Senior Hazard Analytics Scientist

General Motors; Warren (MI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors in Michigan is seeking a Data Scientist focused on hazard monitoring within the Product Safety Data Analytics team. You will apply advanced statistics, develop scalable analytical solutions, and automate workflows to identify emerging vehicle safety issues, collaborating with business partners to understand challenges and deliver data-driven recommendations.

The role requires strong programming in Python and SQL, experience with Databricks and data pipelines, and the ability to

Qualifications

• M.S. in a quantitative discipline is required.
• 6+ years in applied statistics, analytics, or data science.
• Experience with large-scale data analytics and safety-related topics.
• Strong programming skills in Python and SQL.

Responsibilities

• Develop and standardize continuous monitoring of emerging safety issues.
• Strengthen analytics support for safety investigations via automated tools.
• Perform statistical analyses to deliver actionable results.
• Analyze signals and patterns in large data sets to identify safety issues.
• Design and implement automation for analytics workflows.
• Communicate findings clearly to stakeholders and leadership.

Skills

Statistics

Time series

Multivariate analysis

Anomaly detection

Python

SQL

Databricks

Data pipelines

Automation

Communication to leadership

Vehicle safety knowledge

Education

M.S. in Statistics / Mathematics / Econometrics / OR / related field

Tools

Databricks

Job description

General Motors in Michigan is seeking a Data Scientist focused on hazard monitoring within the Product Safety Data Analytics team. You will apply advanced statistics, develop scalable analytical solutions, and automate workflows to identify emerging vehicle safety issues, collaborating with business partners to understand challenges and deliver data-driven recommendations.

The role requires strong programming in Python and SQL, experience with Databricks and data pipelines, and the ability to