Senior Staff Data Scientist, Consumer Relevance

Tech Stack

Responsibilities

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations.
• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes.
• Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects and long-run impacts.
• Identify opportunities where improved measurement and analysis can unlock product insights, particularly around content quality, search intent, and personalization effectiveness.
• Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor.

Benefits

• 401k
• Equity
• Health Insurance
• Learning Budget
• Parental Leave
• Remote Work

Culture

Requirements