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Data Scientist Product Safety Data Analytics

GM


Job Location:

Warren, OH - USA

Monthly Salary: Not provided by the employer
Posted: 5 September 2026 (18 hours ago)
Application Deadline: 3 December 2026
Vacancies: 1 Vacancy

Job Summary

Job Description

The Role

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 with hands-on experience in statistical analysis data interpretation automation and development of scalable analytical solutions. This role requires strong programming skills and the ability 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 data analyses improve monitoring methods and automate workflows.

What Youll 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.
  • Analyze signals patterns and trends in large and complex data sets to support early identification of 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 appropriate off-the-shelf technologies.
  • Prepare clear visualizations summaries and presentations that synthesize complex data and concepts for technical and non-technical audiences including senior leadership.
  • Communicate assumptions methods limitations and findings clearly to support sound decision-making.
  • Build knowledge of vehicle safety technologies their design intent and function and their intended performance in the field.

Your Skills & Abilities (Required Qualifications):

  • 3 years of work experience in applied statistics analytics engineering data science or a related field.
  • Bachelors degree in Applied Statistics Mathematics Econometrics Computer Science Operations Research or a related quantitative discipline.
  • Proficiency in statistical data analysis including methods such as 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 that require data-mining techniques.
  • Proficiency in Python and SQL/Spark with the ability to develop clear reusable and maintainable analytical code.
  • Knowledge of statistical graphics and experience with visualization tools such as Power BI and Tableau.
  • 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 GMs data ecosystem.
  • Experience using GMs cloud technology stack for data science and analytics.
  • Experience applying natural language processing anomaly detection or other advanced analytical techniques to support large-scale safety data analysis.

#LI-KE2

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

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

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Required Experience:

IC


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