Senior Data Scientist – Product Safety Data Analytics

Jobtailor; Missouri; On-site; USD 120,000 - 170,000; Full time

Job summary

General Motors (GM) is seeking a senior analytics expert to lead continuous monitoring of vehicle safety issues and to advance data-analytic support for investigations. You will develop scalable tools, run large-scale analyses, and communicate findings to leadership.

The role requires deep statistical expertise, experience with Python and Databricks, and the ability to operate in an ambiguous environment while mentoring teammates.

Qualifications

• M.S. in statistics, mathematics, econometrics, OR or related quantitative field.
• 6+ years of experience in applied statistics, analytics, or related field.
• Strong background in statistical data analysis including time series, categoricals, multivariate analysis, sampling.

Responsibilities

• Develop and standardize best practices for continuous monitoring of emerging vehicle safety issues.
• Strengthen data-analytics support with improved methods, automated tools, and feedback loops.
• Perform statistical analyses and deliver sound, unbiased results for safety investigations.

Skills

Statistical Data Analysis

Anomaly Detection

Python Programming

Data Analytics

Vehicle Safety Technologies

Education

M.S. in a quantitative discipline

Tools

Databricks

Data Pipelines

Cloud Technology Stack

Job description

• 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

• 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%

Core Competencies

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 Analysis
• Anomaly Detection
• Python Programming
• Data Analytics
• Vehicle Safety Technologies

Hard Skills

• Statistical Analysis
• Time Series Analysis
• Categorical Data Analysis
• Multivariate Analysis
• Sampling Design
• Root Cause Analysis
• Data Analytics
• Automation
• Data Workflows
• Natural Language Processing

Soft Skills

• Effective Communication
• Collaboration
• Mentorship
• Strong Work Ethic
• Drive for Results

Industry Keywords

• Vehicle Safety
• Safety Investigations
• Field-Performance Analytics
• GM Data Ecosystem
• Safety-Related Systems

Tools & Technologies

• Python
• SQL
• Databricks
• Data Pipelines
• Cloud Technology Stack