FindMy Data Scientist

We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Maps services and features. We work directly with the Engineering and Product teams responsible for search, routing, places, FindMy, and other products that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, metrics design, generative analytics, data mining, and more. Build data products (datasets, analyses, models, etc.) and tools (typically in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management Create and validate actionable metrics, at both the component level and to measure overall user engagement Design effective experiments for evaluating complex data and machine learning-based systems 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 product goals and business problems into solvable data science problems Explore rapidly evolving ML and GenAI techniques, prototyping new approaches to assess their applicability to Maps-related problems MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain; (will consider MS with significant related experience) 3+ years experience with data analysis at web scale or relevant work experience Proficient in Python and SQL Strong communication and presentation skills Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions Prior industry experience writing Spark/Pyspark for automating analytic tasks at scale Prior industry experience with AB testing Prior experience in cloud-based technologies (e.g., AWS) Experience writing pipelines for automating analytics tasks at scale Domain-specific knowledge of the mapping/transportation/GIS industry

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