Jobs / United States / Anthropic Pbc D B A Anthropic INC

Data Scientist, GTM

Anthropic Pbc D B A Anthropic INC · 🇺🇸 New York City, NY; San Francisco, CA | New York City, NY

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • 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 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.
  • 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

1 H-1B approval in FY2023

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).

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 part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities • Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products • Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy • Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations • Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions • Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes • Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership • Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications • Proficiency in Python, SQL, and data visualization tools • Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments • Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences • Strong written communication and presentation skills • Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications • 5+ years of experience in data science or analytics roles • A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models • Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem • Genuine interest in Anthropic's mission of developing safe and beneficial AI 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

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Source: Greenhouse (employer board) First seen: 2026-08-21 Last confirmed: 2026-10-03 How our data works → Report this job

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