Data Scientist – Product Safety Data Analytics

General Motors

Data Scientist developing automated analytics for General Motors’ vehicle safety hazard monitoring. Supporting investigations through statistical analysis, anomaly detection, and scalable data workflows.

Posted 9/3/2026full-timeWarren • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical data analysis, including proficiency in Python and SQL/Spark for developing analytical workflows. Capable of communicating complex findings effectively to both technical and non-technical audiences, with a strong understanding of vehicle safety technologies.

Highest-signal resume keywords

Statistical Data AnalysisPython ProgrammingSQL/Spark ProficiencyData Visualization with Power BI and TableauAutomation of Analytical Processes

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Applied StatisticsData AnalysisOutlier DetectionTime Series AnalysisMultivariate AnalysisData Mining TechniquesAnalytical Code DevelopmentData Preprocessing WorkflowsRoot Cause AnalysisAnomaly Detection

Soft Skills

Effective CommunicationStrong Work EthicDrive for ResultsAbility to Work in Ambiguous Environments

Tools & Technologies

DatabricksPower BITableauData PipelinesAutomated Tools

Industry Keywords

Vehicle Safety TechnologiesSafety InvestigationsContinuous MonitoringFeedback LoopsAnalytical Workflows

Tech Stack

Tools & technologies

PythonSparkSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

3+ years of work experience in applied statistics, analytics, engineering, data science, or a related field
Bachelor’s degree in Applied Statistics, Mathematics, Econometrics, Computer Science, Operations Research, or a related quantitative discipline
Proficiency in statistical data analysis, including outlier detection, time series analysis, categorical data analysis, multivariate analysis, sampling design, or analysis of variance
Experience analyzing structured and/or unstructured data, including text or other sources requiring data-mining techniques
Proficiency in Python and SQL/Spark
Ability to develop clear, reusable, and maintainable analytical code
Knowledge of statistical graphics and experience with Power BI and Tableau
Experience with Databricks, data pipelines, data preprocessing workflows, and automation of recurring analytical processes
Ability to communicate results and methodologies effectively, including presentation to senior leadership
Strong work ethic, drive for results, and ability to work effectively in an ambiguous environment
Understanding of vehicle safety technologies, including design intent, function, and intended field performance
GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future
Willingness to travel less than 25%

Benefits

Comp & perks

This job may be eligible for relocation benefits
Benefits supporting well-being at work and at home
Potential role-related assessment and/or pre-employment screening support
Reasonable accommodations for applicants with disabilities