Senior Data Scientist, Enterprise Analytics & Education

Apple Inc.

Seattle (WA)

On-site

USD 185,000 - 325,000

Full time

4 days ago
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Benefits offered by this job

Medical & Dental
Retirement benefits
Employee stock programs
Stock Purchase Plan
Tuition reimbursement
Relocation assistance

Job summary

Apple is seeking a Senior Data Scientist for the Apple Business & Education Organization to drive analytics for enterprise services. You'll partner with product, engineering and business teams to generate insights, measure impact and guide strategy at scale.

You will build and productionize ML and statistical models, design experiments, and leverage generative AI to automate workflows, shaping product decisions across Apple Business Manager, device management, and app distribution.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

SQL
Python
R
Statistics
Experiment design
Data storytelling
Cross-functional influence
Communication
ML in production
Generative AI

Education

Advanced degree in quantitative field

Tools

Hive
Spark
Presto

Job description

Apple is seeking a Senior Data Scientist for the Apple Business & Education Organization to drive analytics for enterprise services. You'll partner with product, engineering and business teams to generate insights, measure impact and guide strategy at scale.

You will build and productionize ML and statistical models, design experiments, and leverage generative AI to automate workflows, shaping product decisions across Apple Business Manager, device management, and app distribution.

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