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Staff Data Scientist, Ads Delivery

🔥 13 hours ago
Machine LearningStatistical ModelingCausal InferenceProduct Analytics

📜 Description

  • Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
  • Lead projects on Ads Delivery opportunities across different funnel stages.
  • Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
  • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
  • Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
  • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

🛠️ Requirements

  • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
  • Deep expertise in Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference, and Product analytics/strategy.
  • Proficient in Programming in Python/R and advanced SQL/Spark.
  • Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
  • Exceptional communication skills to influence both technical and non-technical audiences.
  • Track record mentoring and growing data talent at the staff/senior IC level.
  • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
Reddit

Staff Data Scientist - Ads Measurement, Signals, Privacy

Reddit👥 1001 - 5000 employees🏢 Online Community/social Media
🔥 6 hours ago

As a Staff Data Scientist on Reddit's Ads Data Science team, you'll lead initiatives in measurement, identity, and signal quality to enhance the advertiser experience.

Statistical ModelingIdentity ResolutionExperimental DesignPredictive Modeling

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