Senior Data Scientist - Product Safety Data Analytics

About the role

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/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

#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.

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