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 Spotlight.The Business & Education Data Organization embeds data-informed 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 high-impact 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 scale.This 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 data-informed decision-making.Partner with Product, Engineering, Design, and Business leads to define priorities, shape measurement frameworks, and translate insights into growth strategies. Deliver data-informed narratives for senior leadership that directly inform product, engineering and business roadmaps. Drive organizational alignment by clarifying analytical outcomes and implications for diverse stakeholders. Design performance metrics that capture product health, user engagement, and business impact across our services. Lead controlled experiments and apply causal frameworks to evaluate initiatives at scale. Conduct deep behavioral analysis to uncover acquisition, engagement, feature adoption and retention, then translate findings into actionable strategies. Collaborate with Data Engineering to define instrumentation and build reliable data pipelines. Develop and productionize ML and statistical models that enable predictive and diagnostic insights for product decisions. Leverage 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 production. Proven ability to influence cross-functional initiatives using data-informed insights. Strong communicator skilled at framing complex concepts for senior audiences. Deep expertise in product analytics, launch reporting, and impact measurement. Proficiency in SQL and Python/R with strong statistical and experimental design foundations. Experience structuring ambiguous problems and delivering actionable insights. Experience with generative AI or ML-based 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). Experience with B2B or enterprise products - understanding how building for organizations differs from consumer products. Practical experience with experimentation and advanced causal inference methods. Hands-on experience with large-scale data ecosystems (Hive, Spark, Presto). Demonstrated success influencing or leading projects within matrixed, cross-functional environments.

This 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 data-informed decision-making.Partner with Product, Engineering, Design, and Business leads to define priorities, shape measurement frameworks, and translate insights into growth strategies. Deliver data-informed narratives for senior leadership that directly inform product, engineering and business roadmaps. Drive organizational alignment by clarifying analytical outcomes and implications for diverse stakeholders. Design performance metrics that capture product health, user engagement, and business impact across our services. Lead controlled experiments and apply causal frameworks to evaluate initiatives at scale. Conduct deep behavioral analysis to uncover acquisition, engagement, feature adoption and retention, then translate findings into actionable strategies. Collaborate with Data Engineering to define instrumentation and build reliable data pipelines. Develop and productionize ML and statistical models that enable predictive and diagnostic insights for product decisions. Leverage 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 production. Proven ability to influence cross-functional initiatives using data-informed insights. Strong communicator skilled at framing complex concepts for senior audiences. Deep expertise in product analytics, launch reporting, and impact measurement. Proficiency in SQL and Python/R with strong statistical and experimental design foundations. Experience structuring ambiguous problems and delivering actionable insights. Experience with generative AI or ML-based 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). Experience with B2B or enterprise products - understanding how building for organizations differs from consumer products. Practical experience with experimentation and advanced causal inference methods. Hands-on experience with large-scale data ecosystems (Hive, Spark, Presto). Demonstrated success influencing or leading projects within matrixed, cross-functional environments.