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Senior Product Data Scientist, iCloud

Apple· Software and Services
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Shanghaifull-timePosted 1mo ago

About the role

Senior Product Data Scientist on iCloud's data team focusing on turning complex product and behavioral data into actionable insights and shaping product strategy across iCloud+ and related apps. Leads metrics, experiments, forecasting, and storytelling to senior leadership, partnering with product, engineering, and business teams.

Responsibilities

  • Design and analyze A/B tests and experiments to evaluate the impact of product changes across hundreds of millions of iCloud users.
  • Translate complex data into a clear narrative for senior leadership, surfacing key insights and recommended actions.
  • Partner with Data Engineering and product teams to define success metrics and the instrumentation needed to measure them.
  • Build forecasting models to project growth, adoption, and capacity needs across iCloud services.
  • Mine structured and unstructured data to identify new opportunities and questions worth pursuing.
  • Present findings and recommendations to audiences ranging from engineers to executives, influencing roadmap decisions.
  • Collaborate cross-functionally with engineering, design, and business partners throughout the product development lifecycle.

Qualifications

  • 8+ years in a data analytics or data science role (6+ years in a data science role).
  • Excellent verbal and written communication skills with experience communicating technical concepts to senior executive audiences to influence decisions with data.
  • Proven experience in SQL and at least one programming language (e.g., Python, R) and comfortable developing code in a team environment (e.g., git, notebooks, testing).
  • Ability to think about data in terms of statistical distributions and use a broad analytics toolbox to find patterns, identify targets, and understand variance.
  • Good judgment visually communicating information using state-of-the-art visualization tools.
  • Experience engineering information out of massive and complex datasets, e.g., Spark.
  • Self-motivated, curious with creative and critical thinking capabilities; able to handle ambiguity and synthesize information.

Skills

Required:SQLPython or RA/B testing and experimentation designData visualizationCommunication to senior leadership
Nice to have:ForecastingBig data / Spark

Benefits

  • Apple equal opportunity employer; commitment to inclusion and diversity.
  • Reasonable accommodation for applicants with disabilities.
  • Accessibility-focused workplace culture and benefits.
Last updated Sep 11, 2026. Interested? Apply on the company site.

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