Jobs / United States / Discord INC
Senior Data Scientist, Causal Inference + Experimentation
Discord INC · 🇺🇸 San Francisco Bay Area
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 23 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 6 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 Discord INC paid sponsored hires in similar roles5 certified filings for “Senior Data Scientist” (Data Scientists) in CA: $220k–$272k, median $265k. Most were filed at wage level IV (60%) — 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 — Discord INC
The US Department of Labor certified 23 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 6 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 Discord INC →
About the role
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is looking for an experienced, proactive, and self-driven Senior Data Scientist to join our Experimentation Platform team. The Experimentation Platform puts data at the heart of the company’s decision-making and growth by enabling rapid and accurate product experimentation. Discord runs hundreds of experiments on any given day, turning experiment results into business decisions. As a Data Scientist on this team, you will ensure that the statistical underpinnings of our experiments are sound, that experimenters are able to design experiments with high rigor, and that Discord makes the best business decisions on the basis of these experiments. We are a small and quickly growing team; you will be presented with significant leadership opportunities as we evolve. Our team directly impacts the strategy and roadmaps that improve Discord for its more than 90M daily active users! If helping make Discord an even better place to hang out with your friends sounds like an exciting challenge - we'd love to chat with you! Check out our blog about how our team informs strategy & innovation at Discord here! What You'll Be Doing • Collaborate closely with engineering and product teams to improve the reliability and scalability of experimentation at Discord. • Provide statistical expertise, ensuring that all statistical choices, methodologies, and frameworks are sound and aligned with best practices in causal inference and experimental design. • Lead initiatives to educate and train cross-functional teams on best practices in experimentation design, statistical methodologies, and causal inference, ensuring a deep understanding of the principles that drive sound decision-making under uncertainty. • Develop and deliver engaging workshops, training sessions, and educational materials that demystify complex statistical concepts and promote data-driven decision-making across the company. • Empower our Data Science team (50+ members) to use more rigorous causal inference methods. • In addition to consulting within the wider Data Science team (50+ members), lead and conduct causal inference research of your own on important Discord priorities. What you should have • Proven experience in designing and validating statistical methodologies for experimentation platforms or similar systems, with a focus on ensuring the accuracy and reliability of experimental results. • MSc in a quantitative field (e.g. Statistics, Economics, Political Science, Psychology, etc.) and 2+ years of experience designing, implementing and analyzing experiments or causal inference projects. • Ability to critically evaluate and recommend statistical approaches and methodologies that enhance the integrity of experimentation frameworks. • Strong passion for education and the ability to communicate complex statistical and experimental design concepts clearly and effectively to both technical and non-technical audiences. • Demonstrated experience in developing and delivering training programs or educational content related to experimentation, causal inference, or statistical analysis, with a track record of fostering a culture of data literacy within an organization. • Proficient with Python, SQL, R, and other statistical programming languages. Bonus Points • PhD in a quantitative field • Interest in conducting literature reviews, translating and championing best scientific practices to a wide range