Senior Data Scientist - Product Safety Data Analytics (GPSSC)

Job DescriptionThe RoleThe 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 monitoringStrengthen data-analytics support for safety investigations through improved methods, automated tools, and feedback loops for process improvementPerform appropriate statistical analyses to deliver sound, unbiased, and actionable resultsAnalyze signals, patterns, and trends in large and complex data sets to support early identification of potential safety issuesApply methods such as time series analysis, categorical data analysis, sampling, and multivariate analysis to support investigations and decision-makingSupport anomaly detection, diagnostics, prognostics, and root cause analysis for safety-related topicsIdentify, design, and implement automation opportunities using a combination of custom software development and off-the-shelf solutionsDevelop scalable automated analytical tools, data workflows, and monitoring approaches that improve execution efficiency and consistencyCommunicate findings clearly and tell a concise, data-driven story to a wide range of stakeholders, from analyst to senior leadershipApply strong business acumen and technical judgment to expand and strengthen hazard-monitoring analytics supportWork independently on complex assignments while collaborating effectively across functionsServe as a resource and mentor for less experienced team membersYour Skills & Abilities (Required Qualifications):M.S. in a quantitative discipline such as Statistics, Mathematics, Econometrics, Operations Research, or another relevant degree6+ years of work experience in applied statistics, analytics, engineering, data science, or a related fieldStrong background in statistical data analysis such as time series, categorical data analysis, multivariate analysis, and sampling designStrong background in anomaly detection, diagnostics and prognostics, and root cause analysisDemonstrated experience in large-scale data analyticsStrong programming capability in Python, SQL, and related analytical toolsExperience working with modern data environments such as Databricks, data pipelines, data preprocessing workflows, and automation of recurring analytical processesAbility to communicate results and methodologies effectively, including presentation to senior leadershipStrong work ethic, drive for results, and ability to work effectively in an ambiguous environmentUnderstanding of vehicle safety technologies including design intent, function, and intended field performanceWhat Will Give You a Competitive Edge (Preferred Qualifications):Experience in vehicle development or validation of safety-related systems or componentsExperience supporting safety investigations or field-performance analyticsExperience working within GM’s data ecosystemExperience using GM’s cloud technology stack for data science and analyticsExperience 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 GMOur 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 UsWe 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 OverviewFrom day one, we're looking out for your well-being–at work and at home–so 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.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at View phone number on job-api.jobget.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.SummaryLocation: Warren, Michigan, United States of AmericaType: Full time