Drimva

Anthropic

Data Scientist, Safeguards

$285K–$380K

New York City, NY +3 · Remote · Full-time · Posted Jun 2, 2026

Location
New York City, NY
San Francisco, CA
Seattle, WA
Remote-Friendly US (Travel Required)
Experience
Preferred: 8+ years in data science or analytics; 3+ years embedding in Product teams. Required years correlate with internal job level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: a field relevant to the role, demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa.

About the job

Analyze user behavior and safety data, define success metrics, and use reporting and experimentation to inform product and commercial strategy for safe AI deployment.

What you'll do

  • Analyze user behavior data to identify safety concerns and enforcement opportunities; recommend product improvements.
  • Define metrics, goals, forecasts, and reporting to monitor team performance.
  • Design and analyze controlled experiments, establish data best practices, and make data more accessible.

What they ask for

  • Expertise in Python, SQL, and data visualization tools.
  • Experience turning open questions and data into concise, insightful analysis.
  • Strong written communication and presentation skills.
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role.

Nice to have

  • 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
  • 3+ years embedding in Product teams; experience with safety, anti-abuse, or integrity problems.

Pay

$285,000 — $380,000 USD (base salary)

Tools

Python, SQL

AI focus

Uses data science and analytics to improve safeguards and inform the safe deployment of AI.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)