Data Science Leader at Reddit leading Ads Marketplace strategy and projects with data insights. Collaborating with cross-functional teams to optimize advertising performance and user experience.
Responsibilities
Inspire, lead, and grow a team of data scientists to achieve our longer term vision
Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritize longer term goals
Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyze Ads (marketplace) performance
Continually develop & execute on a Data Science roadmap and vision for your team
Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
Foster a culture of innovation, collaboration, and technical excellence
Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts
Requirements
PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 6+ years of industry data science experience required)
4+ years of management experience. Experience managing managers is a bonus.
Strong skills in programming (Python or R) and SQL
Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving.
Deep understanding of Ads Marketplace
Extensive experience of online experimentation and causal inference
Ability to communicate & discuss low-level technical topics as well as high-level strategies.
Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
Results-oriented with a strong customer and business focus
Track-record driving product roadmap and execution with strong cross-org collaborations
Ability to provide structure and tackle ambiguous and undefined problems
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
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