Senior Data Science Manager, Ads Marketplace

Posted about 13 hours agoViewed

💎 Seniority level: Manager, 6+ years

📍 Location: United States

💸 Salary: 232500.0 - 325500.0 USD per year

🔍 Industry: Advertising

⏳ Experience: 6+ years

🪄 Skills: PythonSQLData AnalysisData MiningMachine LearningPeople ManagementAlgorithmsData scienceData visualizationData modelingA/B testing

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 people management experience. Experience managing managers is a bonus
Strong skills in programming (Python or R) and SQL
Experience/interest in building data foundations, and/or enabling self-serve analytics through DS methods
Deep understanding 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

Inspire, lead, and grow a team of data scientists to achieve our longer term vision
Drive analytics/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 drive advertiser adoption, ads user experience and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven strategies
Actively influence the design of the strategy and shaping of the roadmap
Generate and utilize team insights to set and prioritize longer term goals
Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks and foundational ML models to analyze product 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 Organization, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts