Job Details

Role Number: 200654875-0836

Summary

Apple Maps is changing, and data is in the driver’s seat. Our mission is to build the best map in the world. As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping the data that powers Apple Maps up-to-date and relevant.

Description

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.

Minimum Qualifications

• 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

Preferred Qualifications

• 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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .