Data Scientist, Product Safety Analytics & Automation

Jobtailor; Missouri; On-site; USD 85,000 - 110,000; Full time

Job summary

GM is seeking an experienced data analytics professional to develop continuous monitoring for emerging vehicle safety issues, leveraging Python, SQL/Spark, and Databricks. You will strengthen analytics support for investigations, identify trends, and automate recurring analyses.

This role requires strong communication to senior leadership and collaboration with business partners. Responsibilities include building reusable analytical workflows, creating visualizations with Power BI/Tableau, and

Qualifications

• 3+ years of work experience in applied statistics, analytics, engineering, data science, or a related field
• Bachelor’s degree in a quantitative discipline
• Proficiency in statistical data analysis (outlier detection, time series, categorical/multivariate analysis)
• Experience with structured and/or unstructured data and data-mining techniques
• Proficiency in Python and SQL/Spark
• Ability to develop clear, reusable analytical code
• Knowledge of statistical graphics and experience with Power BI and Tableau
• Experience with Databricks, data pipelines, preprocessing workflows, and automation of recurring analyses
• Ability to communicate results to senior leadership
• Strong work ethic and ability to work in ambiguous environments
• Understanding of vehicle safety technologies and performance
• GM does not sponsor immigration; travel <25%

Responsibilities

• Develop and standardize best practices for continuous monitoring of emerging safety issues
• Strengthen data-analytics support for safety investigations through improved methods, automated tools, and feedback loops
• Analyze signals, patterns, and trends in large and complex data sets to identify potential safety issues
• Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
• Design, build, and maintain repeatable analytical workflows using Python, SQL/Spark, Databricks, and related tools
• Identify automation opportunities and implement solutions using custom software, reusable code, data pipelines, and off-the-shelf technologies
• Prepare visualizations, summaries, and presentations for technical and non-technical audiences, including senior leadership
• Communicate assumptions, methods, limitations, and findings to support decision-making
• Build knowledge of vehicle safety technologies, their design intent and function, and intended field performance
• Work closely with business partners to understand challenges and needs, perform analyses, improve monitoring methods, and automate workflows

Skills

Python Programming

SQL/Spark Proficiency

Statistical Data Analysis

Time Series Analysis

Outlier Detection

Data Mining Techniques

Data Visualization

Education

Bachelor’s degree in Applied Statistics, Mathematics, Econometrics, Computer Science, Operations Research, or related quantitative discipline

Tools

Databricks

Power BI

Tableau

Data Pipelines

Automated Tools

Job description

GM is seeking an experienced data analytics professional to develop continuous monitoring for emerging vehicle safety issues, leveraging Python, SQL/Spark, and Databricks. You will strengthen analytics support for investigations, identify trends, and automate recurring analyses.

This role requires strong communication to senior leadership and collaboration with business partners. Responsibilities include building reusable analytical workflows, creating visualizations with Power BI/Tableau, and