Build data products (feature datasets, analyses, models, etc.) and scalable tools (typically in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in Product, Design, Engineering, and Marketing Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience Support monetization strategy by analyzing user behavior, product performance, and business opportunities Design effective analyses or experiments for evaluating complex data, machine learning-based systems, and measure how monetization efforts affect user engagement and satisfaction Develop models and analyses to mine large volume of data, extract insights, and recommend opportunities for product improvements Automate analyses and pipelines via SQL and Python/Scala-based ETL frameworks Communicate insights to partner teams to influence product direction with data Use data intuition to translate hard product goals and business problems into solvable data science problems. MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work experience Proficient in Python Proficient in at least one database language (e.g., SQL, Snowflake) Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions Solid communication and presentation skillsPrior industry experience with AB testing and causal inference Experience in information retrieval Prior proven industry experience with large data sets using technologies like Hadoop and Spark Experience writing pipelines for automating analytics tasks at scale Experience mentoring junior data scientists and leading projects of varying sizes and scopes Experience with monetization analytics.