Reddit

Senior Staff Data Scientist - Consumer Experimentation

Reddit • $150K — $180K *
US-AnywhereRemote in Ontario, CA
Consumer Technology
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Ph.D. in Statistics, Econometrics, Economics, Computer Science, or related field with focus on causal inference; or M.S. with equivalent expertise
  • 12+ years of industry experience for M.S. holders in applied science or experimentation
  • 8+ years of industry experience for Ph.D. holders in applied science or experimentation
  • Deep expertise in causal inference and complex experimentation challenges
  • Strong theoretical background in experimental design
  • Experience with large-scale experimentation platforms
  • Proficiency in SQL and either R or Python for statistical analysis

Responsibilities

  • Serve as the authority on experimentation methodology across the Consumer team
  • Tackle complex experimentation problems, including spillover effects and network interference
  • Develop causal inference methods where standard assumptions are violated
  • Design frameworks that account for ecosystem-level effects in experimentation
  • Identify opportunities for improved methodologies to unlock insights
  • Build and scale self-serve experimentation tools to enhance efficiency
  • Influence product strategy through rigorous experimental analysis and recommendations

Benefits

  • Global benefit programs tailored to diverse lifestyles
  • Family planning support
  • Gender-affirming care options
  • Mental health and coaching benefits
  • Comprehensive medical coverage and healthcare spending account
  • Registered retirement savings plan with matching contributions
  • Income replacement programs
  • Flexible vacation and paid volunteer time off
  • Generous paid parental leave
Full Job Description


Consumer data science plays a key role in fulfilling Reddit's mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit's product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit's experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers - meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

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
  • 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

Required Qualifications:
  • 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

Preferred Qualifications:
  • Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
  • Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
  • Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges


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


#LI-REMOTE

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

About Reddit

Reddit is an American social news aggregation, web content rating, and discussion website. Registered members submit content to the site such as links, text posts, images, and videos, which are then voted up or down by other members. Posts are organized by subject into user-created boards called "communities" or "subreddits", which cover topics such as news, politics, religion, science, movies, video games, music, books, sports, fitness, cooking, pets, and image-sharing. Submissions with more upvotes appear towards the top of their subreddit and, if they receive enough upvotes, ultimately on the site's front page. Although there are strict rules prohibiting harassment, it still occurs, and Reddit administrators moderate the communities and close or restrict them on occasion. Moderation is also conducted by community-specific moderators, who are not considered Reddit employees. As of September 2021, Reddit ranks as the 19th-most-visited website in the world and 7th most-visited website in the U.S., according to Alexa Internet. About 42–49.3% of its user base comes from the United States, followed by the United Kingdom at 7.9–8.2% and Canada at 5.2–7.8%. Twenty-two percent of U.S. adults aged 18 to 29 years, and 14 percent of U.S. adults aged 30 to 49 years, regularly use Reddit. Reddit was founded by University of Virginia roommates Steve Huffman and Alexis Ohanian, with Aaron Swartz, in 2005. Condé Nast Publications acquired the site in October 2006. In 2011, Reddit became an independent subsidiary of Condé Nast's parent company, Advance Publications. In October 2014, Reddit raised $50 million in a funding round led by Sam Altman and including investors Marc Andreessen, Peter Thiel, Ron Conway, Snoop Dogg, and Jared Leto. Their investment valued the company at $500 million then. In July 2017, Reddit raised $200 million for a $1.8 billion valuation, with Advance Publications remaining the majority stakeholder. In February 2019, a $300 million funding round led by Tencent brought the company's valuation to $3 billion. In August 2021, a $700 million funding round led by Fidelity Investments raised that valuation to over $10 billion.
Learn more about Reddit
Industry
Media
Founded
2005
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Reddit

More Consumer Technology Jobs

Find similar Senior Staff Data Scientist - Consumer Experimentation jobs:

NationwideRemote