Jobs / United States / Anthropic Pbc D B A Anthropic INC
Data Scientist, Safeguards
Anthropic Pbc D B A Anthropic INC · 🇺🇸 New York City, NY; San Francisco, CA; Seattle, WA
Sponsorship verdict
Strong sponsorship evidence
The employer is on a government sponsor record here and the posting itself mentions sponsorship.
- Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
- The posting mentions sponsorshipThis is the employer’s own statement in the listing.
- 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.
- 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 — Anthropic Pbc D B A Anthropic INC
USCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
Vacancy-level signal in the employer's own words — stronger than history alone, still not a promise.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Anthropic Pbc D B A Anthropic INC →
About the role
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities • Deep dive into user behavior data to provide insights on safety concerns • Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting • Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations • Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics • Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications • Expertise in Python, SQL, and data visualization tools. • A bias for action and urgency, not letting perfect be the enemy of the effective. • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. • A deep curiosity and energy for pulling the thread on hard questions. • Experience in turning open questions and data into concise and insightful analysis. • Highly effective written communication and presentation skills. • A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications • 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. • 3+ years of experience deeply embedding in Product teams. • Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfu