Sr. Data Scientist, Apple Business & Education Organization

The Business and Education team builds cloud and software solutions for organizations such as Apple Business Manager device management Managed Apple Accounts and app distribution for organizations plus the brands and locations that shape how businesses appear across Maps Siri and Business u0026 Education Data Organization embeds datainformed thinking into every decision. Youll partner with product engineering and business teams to generate insights measure impact and guide strategy across our services.

Were seeking an experienced Senior Data Scientist to drive highimpact analytics for Apples business and education services. Youll collaborate across engineering product and business teams to uncover opportunities optimize experiences for organizations and influence decisions at global role requires technical depth strategic thinking and strong communication. Youll deliver insights that shape Apples business and education offerings lead complex analytical projects and expand a culture of datainformed decisionmaking.

Partner with Product Engineering Design and Business leads to define priorities shape measurement frameworks and translate insights into growth datainformed narratives for senior leadership that directly inform product engineering and business organizational alignment by clarifying analytical outcomes and implications for diverse performance metrics that capture product health user engagement and business impact across our controlled experiments and apply causal frameworks to evaluate initiatives at deep behavioral analysis to uncover acquisition engagement feature adoption and retention then translate findings into actionable with Data Engineering to define instrumentation and build reliable data and productionize ML and statistical models that enable predictive and diagnostic insights for product generative AI to automate analytical workflows and expand measurement capabilities at scale.

7 years in data analytics or data science; 5 years applying statistical modeling or ML in ability to influence crossfunctional initiatives using datainformed communicator skilled at framing complex concepts for senior expertise in product analytics launch reporting and impact in SQL and Python/R with strong statistical and experimental design structuring ambiguous problems and delivering actionable with generative AI or MLbased agents for automating analytical workflows and building data products at scale.

Advanced degree in quantitative field (Statistics Mathematics Computer Science Engineering Economics or related disciplines).nExperience with B2B or enterprise products understanding how building for organizations differs from consumer experience with experimentation and advanced causal inference experience with largescale data ecosystems (Hive Spark Presto).nDemonstrated success influencing or leading projects within matrixed crossfunctional environments.