Data Scientist, Safeguards

Anthropic · New York City, NY; San Francisco, CA; Seattle, WA · Data Science & Analytics · listed June 2, 2026

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The shape of it

Seniority
Mid level
Experience asked
3–8 years
Where
Hybrid
Stated pay
$285,000 – $380,000 USD
Requirements listed
7
Length
1,002 words

In the posting’s own words

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.

What it asks for · 7

  • 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.

Also a plus

  • 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.

What the job covers

  • 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

Tools and skills named

Languages
  • Python
  • SQL
Data
  • Experimentation
Product & design
  • Roadmap
Ways of working
  • Testing

Words the posting leans on

  • data9×
  • product6×
  • experience5×
  • building4×
  • culture4×
  • build3×
  • key3×
  • metrics3×
  • analytics2×
  • analyze2×
  • data driven2×
  • data science2×
  • deep2×
  • define2×
  • develop2×
  • driven culture2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.