Staff Data Scientist - Experience

Responsibilities

• Lead analyses of user behavior and content data to inform product and strategy decisions.
• Shape evaluation and improvement of content classification and taxonomy, especially for safety-related use cases.
• Design evaluation frameworks, including sampling strategies, baselines, metrics, and annotation-based approaches.
• Build scalable analytical foundations, including metrics, dashboards, and data and context for self-serve analysis and analytical agents.
• Partner with Product, Engineering, and Operations leadership to shape priorities and product strategy.
• Provide methodological leadership and mentorship across Product Insights.
• Identify opportunities to improve data practices across domains.

Requirements

• Deep experience as a product data scientist at Staff level or equivalent.
• Strong foundation in statistics and experience designing evaluation and measurement approaches.
• Experience with annotation-based methods and evaluation settings where controlled experiments are not feasible.
• Experience building metrics and reporting systems for product or policy decisions.
• Experience building self-serve analytical tools or data agents.
• Proficiency in SQL and experience with Python, dbt, or similar tools for reliable analytical datasets.
• Experience using large language models for analysis while ensuring output quality and accuracy.
• Clear communication across functions, senior-stakeholder influence, mentorship, and methodological leadership.
• Experience with content classification, taxonomy, safety, policy, or related domains where data quality and judgment affect product decisions.