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
Track record of designing and analyzing experiments at scale in complex or networked environments
Requirements
With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
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.
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.
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
experience in applied science, data science, or experimentation-focused roles
experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
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
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
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:
Additionally, Reddit offers a wide range of
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI).
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.
benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state.
We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.
The base salary range for this position is: $232,500 — $325,500 USD
Contact
For more information, visit www.redditinc.com .
To learn more, please visit https://www.redditinc.com/careers/ .
Additional details
It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
Reddit is poised to rapidly innovate and grow like no other time in its history.
This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.
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.
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
Deep expertise in causal inference, including practical
Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections •
Comfortable in innovative and fast-paced environments with a bias toward action Preferred