Senior Data Scientist - Product Safety Data Analytics (GPSSC)

General Motors; Michigan; Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors is seeking a Data Scientist focused on hazard monitoring to advance statistical analyses, automations, and scalable analytics solutions. You will identify emerging safety issues, develop monitoring workflows, and mentor colleagues within a collaborative GM data environment.

The role emphasizes strong programming in Python and SQL, experience with Databricks, and the ability to communicate insights to both analysts and senior leadership.

Qualifications

• M.S. in a quantitative discipline such as Statistics, Mathematics, Econometrics, OR, or related field.
• 6+ years in applied statistics, analytics, engineering, data science, or related area.
• Strong programming in Python and SQL with analytical tools.
• Experience with Databricks and data pipelines.
• Ability to communicate results to senior leadership.
• Experience with large-scale data analytics and automation.

Responsibilities

• Develop and standardize best practices for continuous monitoring of emerging safety issues.
• Strengthen analytics support for investigations with automated tools and feedback loops.
• Perform statistical analyses to deliver sound and unbiased results.
• Analyze signals and trends to identify potential safety issues early.
• Apply time series, categorical, multivariate analyses and sampling.
• Support anomaly detection, diagnostics, prognostics, and root-cause analysis.
• Identify and implement automation opportunities with software solutions.
• Develop scalable analytic tools and data workflows for efficiency.
• Communicate findings clearly to a wide range of stakeholders.
• Apply business acumen and technical judgment to hazard-monitoring analytics.
• Work independently on complex tasks and mentor team members.

Skills

Statistical analysis

Python

SQL

Time series analysis

Multivariate analysis

Data interpretation

Communication to leadership

Mentorship

Ambiguity management

Education

Master's degree in Statistics/Mathematics/ Econometrics/ OR Operations Research

Tools

Python

SQL

Databricks

Data pipelines

Automation workflows

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. 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.

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