Senior Data Scientist, Safety Enforcement
$191K–$267K
Remote - United States · Remote · Senior · Full-time · Posted Oct 21, 2026
- Experience
- Ph.D. with 4+ years OR Master’s degree with 8+ years of relevant industry experience.
- Education
- Ph.D. or Master’s degree in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
About the job
Owns safety enforcement problem areas by developing, evaluating, and monitoring models, rules, and decision systems that detect and mitigate abuse.
What you'll do
- Lead enforcement work from problem framing and signal discovery through development, rollout, monitoring, and iteration.
- Analyze abuse patterns and build decision systems; establish evaluation standards and measure real-world impact.
- Partner with Product, Engineering, Policy, and Safety Operations to launch mitigations and support investigations.
What they ask for
- Ph.D. with 4+ years OR Master’s degree with 8+ years of relevant industry experience in a quantitative field.
- Applied experience in safety, enforcement engineering, fraud, or a similar adversarial domain.
- Expertise in SQL and Python, including production-grade analytical code and data pipelines.
- Strong background in statistical analysis, experiment design, causal modeling, and machine-learning techniques.
Nice to have
- Experience in Trust & Safety, fraud, cybersecurity, content moderation, or another adversarial domain.
- Experience applying language models or other enforcement-relevant methods to detection, investigations, labeling, or workflows.
Pay
$190,800 — $267,100 USD (base salary)
Tools
SQL, Python, language models, GenAI
AI focus
Apply models and modern AI methods, including language models, to abuse detection, investigations, labeling, reviewer support, and operational workflows, with rigorous evaluation and appropriate human oversight.
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