# Senior Staff Data Scientist - Consumer Experimentation

**Company:** [Reddit](https://hotfix.jobs/companies/reddit)
**Location:** Remote
**Role:** Data Science
**Salary:** $233k – $326k/yr
**Experience:** 8+ years
**Skills:** Causal Inference, Experimental Design, SQL, R, Python, Power Analysis, Variance Reduction, Sequential Testing, Multiple Comparison Corrections, Bayesian Experimental Methods
**Posted:** 2026-06-01

> As a Senior Staff Data Scientist, you will be the go-to expert on experimentation methodology for Reddit's Consumer team, tackling complex challenges like network effects and influencing product strategy through rigorous experimental design and analysis.

## Job Description

## 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:

* Comprehensive Healthcare Benefits and Income Replacement Programs
* 401k with Employer Match
* 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
* Flexible Vacation & Paid Volunteer Time Off
* Generous Paid Parental Leave

## Similar roles

- [Senior Staff Data Scientist - Consumer Relevance](https://hotfix.jobs/jobs/8bc123da-08f2-4138-ba5a-2ba70c7aa73c) - Reddit - Remote - $233k – $326k/yr
- [Senior / Staff Data Scientist, Growth Product](https://hotfix.jobs/jobs/7f03d53a-0308-4435-9782-7aa17aefa013) - Suno - New York, NY - $240k – $300k/yr
- [Senior / Staff Data Scientist, Mobile Consumer Create](https://hotfix.jobs/jobs/43ec6395-b1e1-4cc5-986c-92648c7b0542) - Suno - Los Angeles, CA - $240k – $300k/yr
- [Staff Data Scientist, Marketing](https://hotfix.jobs/jobs/5adc35e6-3113-4406-a59b-8a95715e0fde) - Reddit - Remote - $217k – $304k/yr
- [Staff Data Scientist, Ads](https://hotfix.jobs/jobs/183a9638-aff0-430a-b908-fefc31d9d01d) - Reddit - Remote - $217k – $304k/yr

**Apply:** https://hotfix.jobs/jobs/0f9c021f-2988-4001-8a06-17e90cab3cdc
**Canonical:** https://hotfix.jobs/jobs/0f9c021f-2988-4001-8a06-17e90cab3cdc