Senior Data Science Manager – Ads Marketplace

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

    Job Description:
  • 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:
  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • 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
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

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