Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and

authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about.

With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s

largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and

authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about.

With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s

largest sources of information. For more information, visit www.redditinc.com.

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.

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:

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

#LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

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. Additionally, Reddit offers a wide range of 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 learn more, please visit https://www.redditinc.com/careers/.

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. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant

licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$232,500—$325,500 USD

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.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and

Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you

choose to share with us. We will use this information to evaluate your application for employment or an independent contractor

role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes.

We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will

handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential

Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse

communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and

disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview

process, please let your recruiter know.

Roll

Senior Staff Data Scientist - Consumer Experimentation

Kategori

Data/IT

Plats

Remote - United States

Publicerad

10 juli

Sista ansökningsdag

17 augusti

Källa

Arbetsgivarens hemsida

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Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. 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