Senior Data Scientist - Product Safety Data Analytics (GPSSC)

General Motors; Warren (MI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors in Michigan is seeking a Data Scientist focused on hazard monitoring within the Product Safety Data Analytics team. You will apply advanced statistics, develop scalable analytical solutions, and automate workflows to identify emerging vehicle safety issues, collaborating with business partners to understand challenges and deliver data-driven recommendations.

The role requires strong programming in Python and SQL, experience with Databricks and data pipelines, and the ability to

Qualifications

• M.S. in a quantitative discipline is required.
• 6+ years in applied statistics, analytics, or data science.
• Experience with large-scale data analytics and safety-related topics.
• Strong programming skills in Python and SQL.

Responsibilities

• Develop and standardize continuous monitoring of emerging safety issues.
• Strengthen analytics support for safety investigations via automated tools.
• Perform statistical analyses to deliver actionable results.
• Analyze signals and patterns in large data sets to identify safety issues.
• Design and implement automation for analytics workflows.
• Communicate findings clearly to stakeholders and leadership.

Skills

Statistics

Time series

Multivariate analysis

Anomaly detection

Python

SQL

Databricks

Data pipelines

Automation

Communication to leadership

Vehicle safety knowledge

Education

M.S. in Statistics / Mathematics / Econometrics / OR / related field

Tools

Databricks

Job description

Job Description

The Product Safety Data Analytics team is seeking highly motivated and qualified candidates for the position of Data Scientist focused on hazard monitoring.

The Role

This is a great opportunity for an innovative data scientist/statistician with strong hands-on experience in statistical analysis, data interpretation, automation, and development of scalable analytical solutions. This role requires strong programming skills and deep knowledge of statistical techniques to solve complex problems, automate analytical workflows, support safety investigations, and strengthen hazard monitoring capabilities. You will be part of a highly collaborative team that values growth, creativity, and a relentless focus on data-driven business transformation.

In this role, you will develop and improve analytical solutions to identify, monitor, and analyze potential emerging vehicle safety issues. You will work closely with business partners to understand their challenges and needs, perform appropriate statistical analyses, improve monitoring methods, automate workflows, and provide technical guidance and mentorship across the team.

What You’ll Do (Responsibilities)

• Develop and help standardize best practices for continuous monitoring of emerging safety issues for use in safety hazard monitoring
• Strengthen data-analytics support for safety investigations through improved methods, automated tools, and feedback loops for process improvement
• Perform appropriate statistical analyses to deliver sound, unbiased, and actionable results
• Analyze signals, patterns, and trends in large and complex data sets to support early identification of potential safety issues
• Apply methods such as time series analysis, categorical data analysis, sampling, and multivariate analysis to support investigations and decision-making
• Support anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topics
• Identify, design, and implement automation opportunities using a combination of custom software development and off-the-shelf solutions
• Develop scalable automated analytical tools, data workflows, and monitoring approaches that improve execution efficiency and consistency
• Communicate findings clearly and tell a concise, data-driven story to a wide range of stakeholders, from analyst to senior leadership
• Apply strong business acumen and technical judgment to expand and strengthen hazard-monitoring analytics support
• Work independently on complex assignments while collaborating effectively across functions
• Serve as a resource and mentor for less experienced team members

Your Skills & Abilities (Required Qualifications)

• 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 such as 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 working 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

What Will Give You a Competitive Edge (Preferred Qualifications)

• 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 to support large-scale safety data analysis

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

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