1 month ago

Senior Staff Data Scientist - Consumer Experimentation

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Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead experimental strategy and causal inference efforts for Reddit’s Consumer team. Define design and analysis standards for networked experiments, tackle advanced issues like spillovers and interference, build scalable self-serve experimentation tools, and mentor others while translating findings into strategic product insights.

Location: Ontario

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
•Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
•Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
•Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
•Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

Key Requirements

•Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or MS with equivalent depth of expertise
•MS with 12+ years of industry experience in applied science, data science, or experimentation-focused roles (for MS holders)
•Deep expertise in causal inference, including network interference/spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
•Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
•Experience with experimentation platforms at scale (e.g., building or extending an internal experimentation platform)

Experience:Data scienceExperimentationCausal inference

Education:PhD / Doctorate

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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