Data Scientist, Product
Posted by employer 6 months ago
First seen on Joblaze 5 months ago
Last verified on the company career page 20 hours ago
Skills & Technologies
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Benefits
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze May 8, 2026. Last confirmed on Anthropic's careers page November 3, 2026.
- Salary band is above the typical range for Data Science roles (median ~$180,000).
- Starts above 92% of 66 comparable senior data science roles in United States that list Python we track (median $176,250 across 39 companies). See Python salary trends
- Python appears in 72.7% of 121 comparable senior data science roles in United States; data visualization appears in 3.3% of 121 comparable senior data science roles in United States.
Quick facts
- Is the Data Scientist, Product role remote?
- It's hybrid — Anthropic expects some on-site time in New York City, NY; San Francisco, CA; Seattle, WA.
- What's the salary range?
- Anthropic lists $275,000–$370,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Data Scientist, Product role.
- Where is the role based?
- Anthropic is hiring for this position in New York City, NY; San Francisco, CA; Seattle, WA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: A/B Testing, AI/ML, Python, SQL, Statistical Modeling, causal inference.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist, Product role at Anthropic.
From the original posting
About Anthropic
About the role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
Responsibilities:
- Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations
- Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations
- Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
- Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
- Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
- Present complex technical analyses and recommendations to both technical and non-technical stakeholders
- Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
You may be a good fit if you have:
- 7+ years of experience in data science or analytics roles
- Deep expertise with Python, SQL, and data visualization tools
- Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
- Highly effective written communication and presentation skills
- A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
- A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
- A passion for the company’s mission of building helpful, honest, and harmless AI
- Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
The annual compensation range for this role is listed below.
Logistics
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