Data Scientist – Product Safety Data Analytics

Jobtailor; Missouri; On-site; USD 85,000 - 110,000; Full time

Job summary

GM is seeking an experienced data analytics professional to develop continuous monitoring for emerging vehicle safety issues, leveraging Python, SQL/Spark, and Databricks. You will strengthen analytics support for investigations, identify trends, and automate recurring analyses.

This role requires strong communication to senior leadership and collaboration with business partners. Responsibilities include building reusable analytical workflows, creating visualizations with Power BI/Tableau, and

Qualifications

• 3+ years of work experience in applied statistics, analytics, engineering, data science, or a related field
• Bachelor’s degree in a quantitative discipline
• Proficiency in statistical data analysis (outlier detection, time series, categorical/multivariate analysis)
• Experience with structured and/or unstructured data and data-mining techniques
• Proficiency in Python and SQL/Spark
• Ability to develop clear, reusable analytical code
• Knowledge of statistical graphics and experience with Power BI and Tableau
• Experience with Databricks, data pipelines, preprocessing workflows, and automation of recurring analyses
• Ability to communicate results to senior leadership
• Strong work ethic and ability to work in ambiguous environments
• Understanding of vehicle safety technologies and performance
• GM does not sponsor immigration; travel <25%

Responsibilities

• 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

Skills

Python Programming

SQL/Spark Proficiency

Statistical Data Analysis

Time Series Analysis

Outlier Detection

Data Mining Techniques

Data Visualization

Education

Bachelor’s degree in Applied Statistics, Mathematics, Econometrics, Computer Science, Operations Research, or related quantitative discipline

Tools

Databricks

Power BI

Tableau

Data Pipelines

Automated Tools

Job description

• 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

• 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%

Core Competencies

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 Analysis
• Python Programming
• SQL/Spark Proficiency
• Data Visualization with Power BI and Tableau
• Automation of Analytical Processes

Hard Skills

• Applied Statistics
• Data Analysis
• Outlier Detection
• Time Series Analysis
• Multivariate Analysis
• Data Mining Techniques
• Analytical Code Development
• Data Preprocessing Workflows
• Root Cause Analysis
• Anomaly Detection

Soft Skills

• Effective Communication
• Strong Work Ethic
• Drive for Results
• Ability to Work in Ambiguous Environments

Industry Keywords

• Vehicle Safety Technologies
• Safety Investigations
• Continuous Monitoring
• Feedback Loops
• Analytical Workflows

Tools & Technologies

• Databricks
• Power BI
• Tableau
• Data Pipelines
• Automated Tools