Senior Staff Data Scientist – Consumer Experimentation

🕒 June 1

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• 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 • Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous • Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams • Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership • Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor • Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

🎯 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 M.S. with equivalent depth of expertise • For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles • For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles • Deep expertise in causal inference, including practical experience with challenges such as 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 significantly extending an internal experimentation platform) • Expert knowledge of SQL and proficiency in R and/or Python for statistical computing • Track record of designing and analyzing experiments at scale in complex or networked environments • Demonstrated ability to influence product and organizational strategy through experimentation insights • Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way • Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders • Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning • Comfortable in innovative and fast-paced environments with a bias toward action.

🏖️ Benefits

• 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 • Income Replacement Programs • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave