1 month ago

Senior Staff Data Scientist - Consumer Relevance

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Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the measurement, evaluation, and experimentation framework for Reddit's content relevance in the Consumer team. Define metrics for ranking and recommendations, design offline and online experiments, and partner with Feeds and Search ML to translate model performance into user impact. Mentor data scientists and shape product strategy through rigorous analysis.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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 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

Pay and Benefits

Salary: USD 232,500 - 325,500 annually

Equity and Bonus:Equity

Perks:Health Insurance401kParental Leave

Key Requirements

•Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise
•For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
•For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
•Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation
•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:Data scienceSocial media

Skills:SQLPythonR

Languages:English

Tech Stack:SQLPythonR

Company Brief

Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2005

Website LinkedIn

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