Senior Data Scientist - Product Safety Data Analytics (GPSSC)

Join General Motors’ Product Safety Data Analytics team in Warren, MI to build statistical and automated solutions for hazard monitoring and safety investigations.

Responsibilities

• Develop and help standardize best practices for continuous monitoring of emerging safety issues for safety hazard monitoring
• Improve analytics support for safety investigations by enhancing methods, building automated tools, and closing the loop through process improvement feedback
• Conduct statistical analyses that produce sound, unbiased, and actionable results
• Analyze signals, patterns, and trends across large, complex data sets to enable early identification of potential safety issues
• Apply statistical approaches such as time series analysis, categorical data analysis, sampling, and multivariate analysis for investigation and decision support
• Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
• Identify automation opportunities and implement them using a mix of custom software development and off-the-shelf solutions
• Build scalable automated analytical tools, data workflows, and monitoring approaches to improve execution efficiency and consistency
• Present findings clearly and communicate a concise, data-driven story to stakeholders ranging from analysts to senior leadership
• Use business acumen and technical judgment to expand and strengthen hazard-monitoring analytics support
• Work independently on complex assignments while collaborating across functions
• Serve as a resource and mentor for less experienced team members

Requirements

• B.S. in a quantitative discipline such as Statistics, Mathematics, Econometrics, Operations Research, or another relevant degree
• 5+ years of experience in applied statistics, analytics, engineering, data science, or a related field
• Strong foundation in statistical data analysis including time series, categorical data analysis, multivariate analysis, and sampling design
• Strong background in anomaly detection, diagnostics, prognostics, and root cause analysis
• Proven experience with large-scale data analytics
• Strong programming capability in Python, SQL, and related analytical tools
• Experience in modern data environments such as Databricks, data pipelines, data preprocessing workflows, and automation of recurring analytical processes
• Ability to effectively communicate results and methodologies, including presentations to senior leadership
• Strong work ethic, drive for results, and ability to operate effectively in an ambiguous environment
• Understanding of vehicle safety technologies, including design intent, function, and intended field performance

Technologies

• Python
• SQL
• Databricks

Preferred Qualifications

• M.S. in a quantitative discipline such as Statistics, Mathematics, Econometrics, Operations Research, or another relevant degree
• Experience in vehicle development or validation of safety-related systems or components
• Experience supporting safety investigations or field-performance analytics
• Experience working within GM’s data ecosystem
• Experience using GM’s cloud technology stack for data science and analytics
• Experience applying natural language processing or other advanced analytical techniques for large-scale safety data analysis

Accommodations

• General Motors offers opportunities to all job seekers including individuals with disabilities.
• If you need a reasonable accommodation to assist with your job search or application for employment, email us or call 1-800-865-7580.
• In your email, include a description of the specific accommodation requested, along with the job title and requisition number of the position you are applying for.