Senior Data Scientist - Maps Eval

Join Apple Maps, where our mission is to build the best map in the world. As a Senior Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you'll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful.

We are seeking a highly talented and seasoned Data Scientist to join our cross-functional team, dedicated to proactively identifying opportunities and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, acting as a strategic thought leader to leverage data and inform product direction. This role offers unparalleled scope to architect, define, and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive, cutting-edge insights platform. Your day-to-day responsibilities will span the full data lifecycle, from proactive exploratory data analysis and metrics design to leading deep dives and crafting and presenting executive-level strategic reports.

MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain.\n5+ years of industry experience with data analysis at web scale or relevant work experience, demonstrating increasing levels of responsibility and impact.\nExpert proficiency in Python for data manipulation, analysis, and modeling.\nExpert proficiency in at least one database language (e.g., SQL, Snowflake) for complex data extraction and transformation.\nProven ability to translate highly ambiguous business questions and strategic needs into robust technical requirements and analytical solutions.\nDeep understanding and practical application of advanced statistical techniques and modeling, including predictive modeling and causal inference.\nExceptional communication and presentation skills, with a track record of influencing product and executive leadership.

Deep expertise in user engagement analytics, retention strategies, and/or growth modeling.\nExtensive experience with large data sets using technologies like Hadoop and Spark.\nDemonstrated experience in architecting and implementing automated analytics tasks and data pipelines at scale.\nProven track record of leading complex projects within highly cross-functional teams, driving consensus and delivering results.\nExperience mentoring junior team members and contributing to a data science community.\nExperience contributing to product strategy and roadmap definition.