Principal Data Scientist, Ads

Reddit
United States
Workplace: RemoteFull timeUSD 268,000 - 365,100 annuallyFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: mastersSkills: ["Problem-solving","Communication","Leadership","Mentorship"]

Lead data science strategy for Reddit Ads by defining long-term measurement, prediction, and optimization solutions. Drive statistical modeling, causal inference, and economic analyses at scale, partnering with Product, Engineering, and Analytics to improve advertiser ROI, user experience, and Reddit revenue while mentoring the data science team and advancing scientific rigor across the organization.

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FursaFursa
Reddit
Reddit
10 months ago

Principal Data Scientist, Ads

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Source: Company careers pageValidated by: Fursa AI
Last checked: 51 minutes agoStatus: Live

Job Summary

Lead data science strategy for Reddit Ads by defining long-term measurement, prediction, and optimization solutions. Drive statistical modeling, causal inference, and economic analyses at scale, partnering with Product, Engineering, and Analytics to improve advertiser ROI, user experience, and Reddit revenue while mentoring the data science team and advancing scientific rigor across the organization.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance.
  • •Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue.
  • •Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments.
  • •Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams.
  • •Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics.

Pay and Benefits

Salary: USD 268,000 - 365,100 annually
Perks:Health Insurance401kParental LeaveCaregiving Support

Key Requirements

  • •Master’s or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline
  • •For MS holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles
  • •For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles
  • •Advanced proficiency in statistical programming (Python or R) and SQL
  • •Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques
Experience:12+ yearsAdvertisingAdsData science
Education:Master's
Skills:Problem-solvingCommunicationLeadershipMentorship
Languages:English
Tech Stack:PythonRSQL

Company Brief

Reddit
Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2005
WebsiteLinkedIn