Data Scientist, Safety Systems
$255,000–$405,000 year
On-site · San Francisco, California, United States
Job Summary
As a Data Scientist in Safety Systems, you will lead efforts to measure the real-world safety impacts of AI products, develop statistical methods for safety metrics, and create dashboards and tools for safety-related questions. Collaborating with cross-functional teams, you will establish a data-driven culture within the team, driving the definition and operationalization of key metrics. The ideal candidate will have over five years of quantitative experience and proven leadership skills, specifically in high-growth environments.
Required Qualifications
- 5+ years experience in a quantitative role navigating highly ambiguous environments
- Proven leadership skills, including leading multiple data scientists and cross-functional teams
- Expertise in defining and implementing metrics, with a track record of operationalizing new feature and product-level metrics from scratch
- Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
- Strategic insights that extend beyond traditional statistical significance testing.
Desired Qualifications
- Experience in trust and safety, integrity, anti-abuse, or related fields
- Demonstrated prior experience in NLP, large language models, or generative AI
- Strong statistical background, including knowledge of sampling, regression, causal analysis, and more
Additional Requirements
- Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws.
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