Reddit is a community of communities. Its 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 100000 active communities and approximately 126 million daily active unique visitors Reddit is one of the internets largest sources of information. For more information visit .
Reddit is a community of communities. Its 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 100000 active communities and approximately 126 million daily active unique visitors Reddit is one of the internets largest sources of information. For more information visit .
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 Reddits 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 Reddits product - from crypto to support groups gaming to AMAs travel tips to memes.
Reddits 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.
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.
Required Experience:
Staff IC
Reddit is a community of communities. Its 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 100000 active communities and approximately 126 mill...
Reddit is a community of communities. Its 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 100000 active communities and approximately 126 million daily active unique visitors Reddit is one of the internets largest sources of information. For more information visit .
Reddit is a community of communities. Its 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 100000 active communities and approximately 126 million daily active unique visitors Reddit is one of the internets largest sources of information. For more information visit .
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 Reddits 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 Reddits product - from crypto to support groups gaming to AMAs travel tips to memes.
Reddits 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.
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.
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