Jobs / United States / General Motors Company
Data Scientist
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 roles3 certified filings for “Software Development” (Data Scientists) in MI: $130k–$249k, median $168k. Most were filed at wage level IV (100%) — 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 The GM Quality Connected Customer Continuous Improvement team is seeking a data scientist to support digital transformation and AI enablement efforts. The individual will work as a member of a team with deep experience in GM’s quality issue management and warranty systems. The individual will bring a data science toolkit and innovative spirit to generate ideas and execute projects that improve overall efficiency of quality business processes. The work will generally consist of listening to/framing stakeholder problems, creation of new data pipelines, building of Artificial Intelligence / Machine Learning (AI/ML) solutions, and development of accompanying user interfaces that enable implementation of solutions for direct decision support. What You’ll Do • • Work as a member of a cross-functional team to propose and implement high-impact data driven analytic solutions that address challenges for quality teams. • Apply Data Science and Modeling techniques to drive data driven decision making and solve complex problems: • Build predictive/prescriptive models and machine-learning algorithms • Analyze large amounts of diverse information to discover trends and patterns • Undertake preprocessing of structured and unstructured data • Monitor and sustain model effectiveness • Present complex information using data visualization techniques • Work with diverse technical teams to provide analytical dataset pipelines and user interfaces to ensure project deliverables fulfill business needs and timing • Create technical documents for models and processes • Present complex information using data visualization techniques and data storytelling • Create repeatable and scalable code and processes for improving development/execution efficiency. Your Skills & Abilities (Required Qualifications) • • Bachelors Degree in Data Science, Analytics, Operations Research, Engineering, Business, Statistics, Economics, Computer Science, Applied Mathematics or another quantitative field • 2 years of experience as a Data Scientist, or related • Experience with developing, deploying, and monitoring performance of large analytic data sets or machine learning based models • Tool Proficiencies: • Python or similar coding languages • SQL, Spark, or similar querying languages • Power BI, Tableau, or similar visualization tools • DataBricks or similar Data Lake technology platforms • Capable of working with diverse technical teams to produce analytical datasets for analysis • Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality • Strong listening and communications skills • Highly collaborative work style • Ability to evaluate the big picture and provide meaningful business insights and actions What Can Give You a Competitive Advantage (Preferred Qualifications) • Domain knowledge of quality processes & data (issue management, warranty reduction, warranty recovery, and similar) • Experience building agents and automation within the Atlassian toolsuite • Master's/Ph.D. degree in Computer Science, Business, Statistics, Mathematics, or a related field 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}. This job is not eligibl