Data Scientist, Maps Evaluation
Apple
Data Science
Cupertino, CA, USA
USD 141,800-258,600 / year + Equity
Posted on Jun 9, 2026
Apple Maps is changing, and data is in the driver’s seat. Our mission is to build the best map in the world. We work in a fast-paced data-focused environment where Data Scientists are given runway to own big projects and drive impact across the Maps organization.
We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, monetization initiatives and Apple Business. You'll partner closely with Product, Design, Engineering, and Marketing to define success metrics, evaluate product performance, understand user behavior, and business opportunities, and drive data-informed decisions. Our day-to-day work crosses many functional areas, including experiment design, AB testing, funnel analysis, other 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 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 skills
- Prior 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