FindMy Data Scientist
Apple - Cupertino, United States of America
Posted Mar 31, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
FindMy Data Scientist Cupertino, United States of America 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. 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
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