Jobs / United States / General Motors Company
Senior Data Scientist, AV and ADAS Insights
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 General Motors is building the next generation of software-defined vehicles and advanced driver-assistance experiences. The success of these products depends on understanding how they perform in the real world, how customers experience them, and where product and engineering investment will create the greatest benefit. As a S enior Data Scientist , S uper Cruise (SC) and Assisted Driving and Active Safety ( ADAS ) Insights, you will be a hands-on technical and strategic partner to Product Management, Systems Engineering, Data Engineering, Safety, and Program teams. You will turn complex vehicle telemetry, retail-fleet data, engineering data, and customer-behavior signals into trusted metrics, actionable insights, and clear recommendations that shape product strategy and prioritization. You will help product teams understand feature availability, usage, evaluate feature availability, utilization , safety performance, reliability, customer acceptance, and trust-related behaviors across Super Cruise , advanced autonomy products and ADAS products . This is a senior individual-contributor role for someone who can independently frame ambiguous problems, develop rigorous analyses, influence decisions without formal authority, and establish analytical practices that scale across the organization. What You’ll Do • Partner with Product Management to translate product questions into analyses that inform strategy, roadmaps, requirements, prioritization, investments, and launch decisions. • Define and maintain trusted KPI frameworks for AV, Super Cruise and ADAS, including metric definitions, assumptions, data lineage, limitations, baselines, thresholds, and appropriate use of engineering and retail-fleet data. • Evaluate product performance across availability, usage, effectiveness, customer value, and experience, identifying drivers, tradeoffs, risks, opportunities, regressions, and regional or population-level differences. • Build integrated datasets, models, dashboards, scorecards, recurring reports, and self-service tools that connect vehicle, driver, safety-event, trip, crash, and operating-context data to support ongoing monitoring and action. • Investigate unexpected trends and data-quality issues, partnering with engineering and data teams to address gaps in signals, triggers, decoding, sampling, instrumentation, and data availability. • Apply sound statistical and causal-inference methods to vehicle data, evaluations, feature rollouts, and constrained experiments, and communicate findings and recommendations effectively across technical teams, cross-functional forums, and senior leadership. How You’ll Make an Impact • Product teams use a common, trusted view of performance rather than disconnected or conflicting analyses. • Retail-fleet data becomes a practical input to product strategy, release decisions, regional expansion, and engineering prioritization. • High-value customer and safety problems are quantified, ranked, and connected to specific product or engineering actions. • Product teams can distinguish true performance changes from changes in data coverage, instrumentation, fleet mix, software releases, or analytical definitions. • New metrics and data use cases are developed with appropriate privacy , access-control , regulatory, and data-retention considerations. • Decision-makers receive clear narratives that explain what changed, why it matters, what is uncertain, and what should happen next. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline, or