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About The Position

We are seeking an experienced Senior Data Scientist to drive high‑impact analytics for iCloud and Apple’s cloud services. You will collaborate across engineering, product, and business teams to uncover opportunities, optimize user experiences, and influence decisions at global scale. This role calls for a balance of technical depth, strategic thinking, and strong communication. You’ll deliver insights that shape the trajectory of Apple Services, lead complex analytical projects, and expand a culture of data‑informed decision‑making across ASE.

Requirements

  • 7+ years of experience in data analytics or data science, with 5+ years in data science applying statistical modeling, or Machine Learning in production.
  • Proven ability to influence cross‑functional initiatives and shape product or business strategy using data‑informed insights.
  • Strong communicator skilled at framing complex technical concepts for senior and executive audiences.
  • Deep expertise in product analytics, launch reporting, and impact measurement.
  • Proficiency in SQL and at least one programming language (Python, R, etc.), with strong statistical and experimental design foundations.
  • Ability to structure ambiguous problem spaces, prioritize effectively, and deliver actionable insights.
  • Exposure to applying generative AI or ML‑based agents (ex. Claude) to automate analytical workflows and build data products.

Nice To Haves

  • Advanced degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline).
  • Practical experience with experimentation (A/B testing, Multi-armed bandit) and advanced causal inference methods (e.g., matched markets, synthetic controls).
  • Hands‑on experience with large‑scale data ecosystems (Hive, Spark, Presto, etc.) and building scalable, reproducible analytical pipelines.
  • Demonstrated success influencing or leading projects within matrixed, cross‑functional environments.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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