The Director, Applied Science & Product Analytics leads data-driven product and business decision-making at adMarketplace. This hands-on role requires expertise in SQL, causal inference, experimentation, and product analytics. Responsibilities include diagnosing marketplace performance, developing measurement frameworks, leading BI functions, and delivering executive insights. The role demands strong experience in adtech, auction mechanics, and marketplace analytics, with 8-12+ years in applied science, data science, or product analytics. Candidates must have advanced SQL skills, statistical expertise, and the ability to communicate complex insights to executives. A quantitative degree is required. Benefits include healthcare, wellness programs, paid time off, commuter benefits, 401k matching, and various employee engagement activities. Location: New York, NY.
What you'll do
Product analytics and performance diagnostics across the marketplace
Deep-dive investigations into auction outcomes, click & conversion funnels, supply quality, advertiser ROI, financial analysis, user behavior, and ranking logic
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Requirements
Hands-on applied science or data science background
Experience owning a measurement function including attribution, incrementality, ad effectiveness, or campaign measurement
Experience leading or overseeing a BI function including data products, reporting infrastructure, and self-service analytics
Deep expertise in product analytics and experimentation including A/B and multivariate testing, incrementality and lift analysis, causal inference, funnel and cohort analysis, and KPI forecasting
Strong statistical foundation with ability to design, execute, and interpret complex experimental and causal results
Advanced SQL skills and experience working with large, event-level datasets
Fluency with modern analytics and data platforms (Databricks, BigQuery, Snowflake) and visualization tools (Tableau)
Experience working in adtech, search advertising, or performance marketing
Direct exposure to auction mechanics, ranking systems, bid optimization, or marketplace analytics preferred
Strong product and business intuition with track record of influencing product strategy and connecting insights to growth, efficiency, and P&L impact
Demonstrated ability to lead and develop analytical teams while remaining hands-on
Ability to clearly communicate complex insights to executive audiences
Degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or similar); advanced degree a plus
8–12+ years of experience in applied science, data science, product analytics, experimentation, and/or performance measurement
Comfort operating in and improving messy data environments; experience diagnosing data quality issues and building toward reliable infrastructure
