Data Scientist

We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating routing service quality, ensuring its accuracy and reliability, and identifying areas of improvements. We work directly with the Engineering, Product, and Operation teams responsible for routing data and service algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. 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 engineering and product management Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience 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 hard 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 3+ years experience with data analysis at web scale or relevant work experience Proficient in at least one programming/scripting language (e.g., Python, Scala, Java) Proficient in at least one database language (e.g., SQL) Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions Solid communication and presentation skills Prior industry experience with AB testing and causal inference Experience with spatial data analysis Prior proven industry experience with large data sets using technologies like Hadoop and Spark Experience writing pipelines for automating analytics tasks at scale Domain-specific knowledge of the mapping/transportation/GIS industry Experience mentoring junior data scientists and leading projects of varying sizes and scopes

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