Senior Data Scientist, ASE iCloud Data Organization

Would you like to help shape the future of Apple's products and platforms while impacting some of the most widely used software in the world? The Apple Services Engineering (ASE) organization drives innovation behind Apple's cloud-based experiences for over a billion global users - including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, and Notes. We build the infrastructure and intelligence that enable Apple's ecosystem to deliver seamless, privacy-first experiences every day.

The ASE Data Organization plays a central role in this mission by embedding data-informed thinking into every decision. Partnering with product, engineering, and business teams, we combine analytical rigor, product acumen, and technical depth to generate insights, measure impact, and guide strategy across iCloud and related services.

Description

We are seeking an experienced Senior Data Scientist to drive high-impact analytics for iCloud and Apple's cloud services. You will collaborate across engineering, product, and business teams to uncover opportunities, optimize user experiences, and influence decisions at global scale.

This role calls for a balance of technical depth, strategic thinking, and strong communication. You'll deliver insights that shape the trajectory of Apple Services, lead complex analytical projects, and expand a culture of data-informed decision-making across ASE.

Responsibilities:

Partner with Product, Engineering, Design, and Business leads to define priorities, shape measurement frameworks, and translate insights into growth strategies for iCloud.

Deliver data-informed narratives for senior leadership that directly inform product 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 iCloud services.

Lead controlled experiments, apply causal frameworks and marketing mix models to evaluate initiatives at scale.

Conduct deep behavioral analysis to uncover engagement, retention, and churn drivers, then translate findings into actionable strategies.

Collaborate with Data Engineering to define instrumentation and build reliable data pipelines across ASE.

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.

Preferred Qualifications

Advanced degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline).

Practical experience with experimentation (A/B testing, Multi-armed bandit) and advanced causal inference methods (e.g., matched markets, synthetic controls).

Hands-on experience with large-scale data ecosystems (Hive, Spark, Presto, etc.) and building scalable, reproducible analytical pipelines.

Demonstrated success influencing or leading projects within matrixed, cross-functional environments.

Minimum Qualifications

7+ years of experience in data analytics or data science, with 5+ years in data science applying statistical modeling, or Machine Learning in production.

Proven ability to influence cross-functional initiatives and shape product or business strategy using data-informed insights.

Strong communicator skilled at framing complex technical concepts for senior and executive audiences.

Deep expertise in product analytics, launch reporting, and impact measurement.

Proficiency in SQL and at least one programming language (Python, R, etc.), with strong statistical and experimental design foundations.

Ability to structure ambiguous problem spaces, prioritize effectively, and deliver actionable insights.

Exposure to applying generative AI or ML-based agents (ex. Claude) to automate analytical workflows and build data products.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.