Senior Data Scientist, ASE iCloud Data Organization

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $237k
$105k most similar roles pay here $323k

This role pays more than 90% of similar roles. Most pay $133,900–$203,712 — the shaded band above. At the midpoint, this role pays about $237k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, ASE iCloud Data Organization

As a Senior Data Scientist in Apple’s Services Engineering iCloud Data Organization, you will collaborate with product, engineering, and business teams to drive high-impact analytics for iCloud and related cloud services. Your daily tasks include defining measurement frameworks, delivering data-informed narratives for senior leadership, designing performance metrics, leading controlled experiments, conducting deep behavioral analysis, and translating findings into actionable strategies. You will also work closely with Data Engineering to build reliable data pipelines and develop ML models that enable predictive insights. Proficiency in SQL, Python or R, and strong statistical foundations are essential, along with experience in large-scale data ecosystems like Hive and Spark. This role requires a balance of technical depth, strategic thinking, and communication skills to influence decisions at global scale for Apple’s widely used cloud-based services.

What you'll do

  • Define priorities and measurement frameworks for iCloud initiatives.
  • Deliver insights that shape product and business roadmaps for senior leadership.
  • Design performance metrics to capture user engagement and business impact.
  • Lead controlled experiments and apply causal models to evaluate initiatives.
  • Conduct behavioral analysis to uncover drivers of retention and churn.
  • Develop and productionize ML models enabling predictive and diagnostic insights.
  • Collaborate with Data Engineering to build reliable data pipelines across ASE.

What we're looking for

  • 7+ years of experience in data analytics or data science with a focus on statistical modeling and machine learning in production.
  • Proven ability to influence product or business strategy through data-informed insights across multiple teams.
  • Strong communication skills for framing complex technical concepts for senior leadership.
  • Deep expertise in product analytics, launch reporting, and measuring impact of initiatives.
  • Proficiency in SQL and a programming language like Python or R, with strong statistical foundations.
  • Experience structuring ambiguous problems, prioritizing effectively, and delivering actionable insights.
  • Exposure to using generative AI or ML-based agents to automate analytical workflows.

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