Senior Data Scientist – Product Safety Data Analytics

General Motors

GM data scientist developing scalable analytics and automation to detect emerging vehicle safety issues. Applying statistical methods, Python, SQL, and Databricks to support investigations.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical data analysis, including time series, categorical data, and multivariate analysis, while effectively communicating actionable insights to stakeholders. Proficient in developing automated analytical tools and workflows to enhance vehicle safety monitoring and investigations.

Highest-signal resume keywords

Statistical Data AnalysisAnomaly DetectionPython ProgrammingData AnalyticsVehicle Safety Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisTime Series AnalysisCategorical Data AnalysisMultivariate AnalysisSampling DesignRoot Cause AnalysisData AnalyticsAutomationData WorkflowsNatural Language Processing

Soft Skills

Effective CommunicationCollaborationMentorshipStrong Work EthicDrive for Results

Tools & Technologies

PythonSQLDatabricksData PipelinesCloud Technology Stack

Industry Keywords

Vehicle SafetySafety InvestigationsField-Performance AnalyticsGM Data EcosystemSafety-Related Systems

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Develop and standardize best practices for continuous monitoring of emerging vehicle safety issues
Strengthen data-analytics support for safety investigations through improved methods, automated tools, and process-improvement feedback loops
Perform statistical analyses and deliver sound, unbiased, actionable results
Analyze signals, patterns, and trends in large, complex datasets to identify potential safety issues early
Apply time series, categorical data, sampling, and multivariate analysis methods
Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
Identify, design, and implement automation opportunities using custom software and off-the-shelf solutions
Develop scalable automated analytical tools, data workflows, and monitoring approaches
Communicate findings and concise, data-driven stories to stakeholders from analysts to senior leadership
Provide technical guidance and mentorship across the team
Work independently on complex assignments while collaborating across functions
Apply business acumen and technical judgment to strengthen hazard-monitoring analytics support

Requirements

What you’ll need

M.S. in a quantitative discipline such as Statistics, Mathematics, Econometrics, Operations Research, or another relevant degree
6+ years of work experience in applied statistics, analytics, engineering, data science, or a related field
Strong background in statistical data analysis, including time series, categorical data analysis, multivariate analysis, and sampling design
Strong background in anomaly detection, diagnostics and prognostics, and root cause analysis
Demonstrated experience in large-scale data analytics
Strong programming capability in Python, SQL, and related analytical tools
Experience with Databricks, data pipelines, data preprocessing workflows, and automation of recurring analytical processes
Ability to communicate results and methodologies effectively, including presentations 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
Experience in vehicle development or validation of safety-related systems or components preferred
Experience supporting safety investigations or field-performance analytics preferred
Experience working within GM’s data ecosystem preferred
Experience using GM’s cloud technology stack for data science and analytics preferred
Experience applying natural language processing or other advanced analytical techniques preferred
Must not require GM immigration sponsorship now or in the future; GM does not provide immigration-related sponsorship
Required to report to the specific location at least 3 times a week, or at another frequency dictated by the manager
Required to travel less than 25%

Benefits

Comp & perks

Potential eligibility for relocation benefits
GM Total Rewards benefits supporting well-being at work and home
Inclusive workplace and belonging-focused culture
Reasonable accommodation support for applicants with disabilities