Data Scientist, GTM

at Anthropic

📍 New York City, United States
📍 San Francisco, United States

USD 285,000-380,000 per year

MIDDLE

✅ Hybrid

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

A/B Testing @ 3 AI @ 3 Communication @ 6 Data Science @ 5 Data Visualization @ 5 LLM Machine Learning Python @ 5 SQL @ 5

Details

As part of Anthropic’s Data Science & Analytics team, this role drives data-informed decisions across the commercial customer lifecycle for a rapidly scaling, consumption-based AI platform. The position sits at the intersection of sales operations and statistical analysis and partners with analytics engineers, data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy.

Responsibilities

Define key metrics, build measurement frameworks, and maintain core reporting to evaluate go-to-market success across segments and products.
Analyze commercial and user data to surface actionable insights, size opportunities, and influence product roadmaps and go-to-market strategy.
Develop hypotheses and apply rigorous causal inference methods, including controlled experiments and synthetic controls.
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 technical and non-technical stakeholders, including go-to-market leadership.
Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration.

Requirements

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.
Ability to translate complex data into clear, actionable insights for technical and business audiences.
Strong written communication and presentation skills.
Ability to work effectively in fast-moving, ambiguous environments and create structure where it does not yet exist.
Preferred: 5+ years of experience in data science or analytics roles.
Preferred: Experience with multi-segment, multi-product B2B sales or commercial analytics, especially consumption-based revenue models.
Preferred: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and experience.
Required field of study: A field relevant to the role, as demonstrated through coursework, training, or professional experience.

Compensation

Annual salary: $285,000–$380,000 USD.

Work Policy

Anthropic currently expects staff to work from one of its offices at least 25% of the time. Some roles may require more time in the office.

Visa Sponsorship

Anthropic sponsors visas, although sponsorship may not be available for every role or candidate. The company states that it makes every reasonable effort to obtain a visa and retains an immigration lawyer to assist with the process.