Principal Data Scientist, Ads

🕒 Outubro 14, 2025

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Reddit, Inc.

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2005

👥 B2C

📱 Mídia

🌍 Impacto Social

B2C • Media • Social Impact

Reddit, Inc. é uma plataforma de mídia social que funciona como um hub para milhares de comunidades, onde os usuários podem participar de conversas diversas, que vão de notícias de última hora a interesses de nicho. Ela permite que usuários publiquem, comentem e votem em conteúdos, fomentando uma comunidade online vibrante. Milhões de pessoas no mundo todo se conectam e compartilham suas paixões no Reddit, criando um ambiente dinâmico para interações humanas autênticas.

Descrição

• 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. • Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action. • Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques.

🎯 Requisitos

• Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale • Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline • For M.S. 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 • Strong understanding of experimental design, causal inference, or A/B testing methodologies • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners • Experience working in fast-paced, ambiguous environments with cross-functional teams • Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice.

🏖️ Benefícios

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k Match • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Reddit Global Days off • Generous paid Parental Leave • Paid Volunteer time off