Senior Staff Data Scientist - Consumer Relevance

holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles

holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles

Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts

Experience defining and validating quality metrics for content ranking, search, or recommendations at scale

Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments

Expert knowledge of SQL and proficiency in R and/or Python for statistical computing

Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Comprehensive Medical Benefits & Health Care Spending Account

Registered Retirement Savings Plan with matching contributions

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 in a complex, community-driven environment

Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction

Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply

Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness

Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact

Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership