Jobs / United States / General Motors Company
Data Scientist - Product Safety Data Analytics
General Motors Company · 🇺🇸 Warren, Michigan, United States of America
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles13 certified filings for “Senior Product Manager” (Robotics Engineers) in MI: $142k–$165k, median $155k. Most were filed at wage level IV (62%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — General Motors Company
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
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 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 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. • 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. • Bachelor’s 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 comp