{"id":1316,"url":"https://alion.io/job/reddit-senior-staff-data-scientist-consumer-relevance","title":"Senior Staff Data Scientist, Consumer Relevance","company":{"id":16,"name":"Reddit","domain":"reddit.com","url":"https://alion.io/company/reddit","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":25,"ghost_share":0,"stale_share":0.64,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":232500,"max":325500,"currency":"USD","period":"year","gross":null,"usd_annual":325500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-01T19:41:01Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T13:17:10Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":143},"description":"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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.\nReddit 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.\nReddit 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. \nConsumer 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.\nReddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of \"relevance\" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization.\nAs a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation.\nResponsibilities\nServe as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment\nDevelop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction\nDesign and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply\nIdentify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness\nPartner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact\nInfluence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership\nMentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor\nPublish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community\nRequired Qualifications\nPh.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise\nFor M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles\nFor Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles\nDeep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation\nStrong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts\nExperience defining and validating quality metrics for content ranking, search, or recommendations at scale\nStrong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments\nExpert knowledge of SQL and proficiency in R and/or Python for statistical computing\nDemonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience\nExcellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders\nExperience mentoring data scientists and building organizational capability in relevance evaluation and experimentation\nComfortable in innovative and fast-paced environments with a bias toward action\nPreferred Qualifications\nPublished research or industry contributions in areas recommendation systems or causal inference for ranking\nExperience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges\nBenefits:\nComprehensive Healthcare Benefits and Income Replacement Programs\n401k with Employer Match\nGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\nFamily Planning Support\nGender-Affirming Care\nMental Health & Coaching Benefits\nFlexible Vacation & Paid Volunteer Time Off\nGenerous Paid Parental Leave \nPay Transparency:\nThis job posting may span more than one career level.\nIn 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/.\nTo 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.\nThe base salary range for this position is:\n$232,500—$325,500 USD\nIn 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.\nDuring 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.\nReddit 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. 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