Senior Data Scientist – Product Safety Data Analytics

General Motors

. Develop and standardize best practices for continuous monitoring of emerging safety issues .

Posted 9/24/2026full-timeWarren • Michigan • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

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

Highest-signal resume keywords

Statistical Data AnalysisAnomaly DetectionPython ProgrammingSQL ProgrammingData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Time Series AnalysisCategorical Data AnalysisMultivariate AnalysisSampling DesignRoot Cause AnalysisData AnalyticsStatistical AnalysisAutomated Tools DevelopmentData WorkflowsData Preprocessing

Soft Skills

Effective CommunicationCollaborationMentorshipStrong Work EthicDrive for Results

Tools & Technologies

DatabricksData PipelinesAnalytical ToolsAutomation SolutionsCustom Software Development

Industry Keywords

Vehicle Safety TechnologiesSafety InvestigationsData-Driven InsightsEmerging Safety IssuesFeedback Loops

Tech Stack

Tools & technologies

PythonSQL

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
Perform statistical analyses to deliver sound, unbiased, and actionable results
Analyze signals, patterns, and trends in large and complex data sets to identify potential safety issues
Apply time series analysis, categorical data analysis, sampling, and multivariate analysis to investigations and decision-making
Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
Design and implement automation opportunities using custom software development and off-the-shelf solutions
Develop scalable automated analytical tools, data workflows, and monitoring approaches
Communicate findings and data-driven insights to stakeholders from analysts to senior leadership
Provide technical guidance and mentorship across the team
Work independently on complex assignments while collaborating across functions

Requirements

What you’ll need

B.S. in a quantitative discipline such as Statistics, Mathematics, Econometrics, Operations Research, or another relevant degree
5+ 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 modern data environments such as 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

Benefits

Comp & perks

Benefits supporting employee well-being at work and at home
Total Rewards resources
Inclusive workplace and belonging-focused culture
Reasonable accommodations for job seekers with disabilities