Jobs / United States / Doordash INC
Senior Data Scientist - Experimentation Platform
Doordash INC · 🇺🇸 New York, NY
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 396 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 147 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 Doordash INC paid sponsored hires in similar roles14 certified filings for “Data Scientist” (Data Scientists) in NY: $109k–$164k, median $146k. Most were filed at wage level I (36%) — 1 lottery entry, ≈15% 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 — Doordash INC
The US Department of Labor certified 396 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 147 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 Doordash INC →
About the role
About the Team The Decision Systems Experimentation Platform team builds the platform and standards which let DoorDash, Deliveroo, and Wolt experiment successfully across every side of the marketplace, from consumers and merchants to dashers. Getting this right means faster, more reliable decisions for every team who rely on experimentation. We're still early in building a global experimentation platform across all of our brands, and this team will shape the next evolution of experimenting at DoorDash. About the Role This is a foundational role: in your first few months, you'll get close to how data scientists across DoorDash, Deliveroo, and Wolt currently experiment, and start closing the gaps between what they need and what exists today. You'll help to build the methodology, tooling, and standards other teams will rely on alongside the Experimentation Platform team currently based out of London, UK. Success looks like teams adopting what we build for their experiments. It's an exciting time to join because so much of this is still being defined whilst three brands combine, and you'll have real influence over what it becomes. You will report into the Data Science Manager on our Decision Systems team in our DoorDash organisation. You will be based out of our New York office and expected to occasionally travel within the US and internationally. You’re excited about this opportunity because you will… • Design the statistical methods which encourage experimentation best practice and help teams see results faster, for use across DoorDash, Deliveroo, and Wolt. • Work with leadership to define the vision for experimentation. • Set the standards that experimenters across three brands and many markets rely on to trust their results. • Partner directly with engineering to help build the platform. • Help decide where AI belongs in the experimentation process, and where it doesn't. We’re excited about you because… • You have 6+ years of experience in data science and experimentation. • You have experience thinking about experimentation at a programme level, not only running experiments within a single team. • You have solid technical grounding in experimentation methodology - you understand why practices like correcting for multiple comparisons or power calculations matter. • You are comfortable working as an individual contributor while bringing stakeholder management and prioritization skills, whether or not you've managed people before. Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here . See below for paid time off details: • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. • For hourly