Jobs / United States / General Motors Company
Data Scientist
General Motors Company · 🇺🇸 2 Locations
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 roles9 certified filings for “Artificial Intelligence Machine Learning Scientist” (Robotics Engineers) in CA: $190k–$220k, median $210k. Most were filed at wage level IV (56%) — 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.
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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 As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of one or more workstreams within an AI, machine learning, or data science product. You will build deep technical expertise under the guidance of the product’s lead scientist while actively contributing to product decisions, methodological direction, and the development of high-impact solutions. What You Will Do • Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. • Contribute to product decisions and help shape the ideation, design, and development of analytical methods and solutions. • Develop high-quality code that is methodologically sound, maintainable, scalable, and operationally robust. • Explore and apply new methods, technologies, and approaches to expand the product’s technical capabilities. • Deliver results on time while managing risks and maintaining methodological and operational quality. • Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes. • Translate complex technical concepts, tradeoffs, assumptions, and risks into clear insights and recommendations for stakeholders and leaders. • Present workstream progress, findings, and business impact to technical and business audiences. Your Skills and Abilities (Required Qualifications) • 3+ years working in the field of advanced analytics, AI/ML and/or operations research initiatives, developing and integrating analytical methods into software products; • Demonstrated use of innovative methodologies and approaches to solving business problems, resulting in meaningful business impact; • Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.); • Expertise in Python and other cloud-based data science platforms (Databricks preferred), and proficiency in SQL; • Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, etc. • Strong presentation and communication skills; and • M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics, or related field. Equivalent additional experience may substitute for advanced degree. What Can Give You a Competitive Advantage (Preferred Qualifications) • Experience contributing to AI, machine learning, or data science products from concept through production delivery. • Experience influencing product decisions and shaping methodological direction. • Breadth across modern data science methods, tools, and technologies, with a demonstrated interest in continuous technical growth. • Experience building solutions that are reliable, maintainable, scalable, and operationally ready. • Experience working across multidisciplinary teams, including data engineering, software engineering, product delivery, and business stakeholders. • Demonstrated ability to connect technical work to measurable business impact. Publications, conference talks, patents or other generated intellectual property, committed open-source work, or other external technical recognition preferred. • Experience presenting complex analytical results and technical tradeoffs to senior leaders and diverse audiences. 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 word