Jobs / United States / Duolingo INC
Senior Data Science Manager, User Growth
Duolingo INC · 🇺🇸 New York, NY; Pittsburgh, PA
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 100 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 5 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 Duolingo INC paid sponsored hires in similar roles2 certified filings for “Associate Product Manager, Growth” (Data Scientists) in PA: $135k–$139k, median $137k. Most were filed at wage level I (50%) — 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 — Duolingo INC
The US Department of Labor certified 100 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 5 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 Duolingo INC →
About the role
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... Our mission at Duolingo is to develop the best education in the world and make it universally available. With over 500 million users and rapid expansion across new subjects and markets, Duolingo's growth trajectory demands world-class analytical leadership. We're hiring a Senior Data Science Manager to lead the data science function within our Growth pillar, one of the most consequential areas of the business. This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in forecasting, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them. This role reports to the Head of Data Science & Analytics and partners closely with cross-functional leadership in Engineering, Product, Design, and Finance. 🧠 You will... • Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals. • Lead a team of 6 to 10 data scientists. Build a culture of professional growth, intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent. • Support and evolve the practice of embedding Data Scientists within product development teams, simultaneously maintaining strong stakeholder connection and function cohesion. • Own the design, execution, and interpretation of experiments and analyses that drive decisions on user acquisition, activation, retention, and reengagement. Improve and advocate for the methodological standards that ensure we learn reliably from every test. • Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources. • Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables others to operate with data fluency. • Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners. Influence strategic decisions through a combination of technical depth and effective communication. • Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to elevate every phase of product development. ✅ You have... • Experience using data science and analytics to solve product and business problems. • Experience managing 5+ person data science teams. • A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques. • Applied industry experience using causal inference, experimenta