Sr. Data Science Leader – iCloud

Cupertino, California, United StatesSenior$267,800 - $401,70010+ years

At Apple, data helps turn curiosity into breakthrough product experiences. Within iCloud, data plays a critical role in shaping how cloud services evolve, scale, and deliver world-class experiences. We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes product strategy, drives business outcomes, and elevates decision-making through rigorous, data-informed insights. This role calls for a strategic leader who pairs deep technical expertise with strong people leadership, and who can translate complex data into clear, measurable product and business impact while driving alignment across senior stakeholders.

The Sr. Data Science Leader will oversee and grow a team of senior data scientists and managers responsible for analytics, experimentation, modeling, and data-driven insights that directly influence iCloud product experiences and business strategy. You will partner closely with Product, Engineering, Design, and Business leaders to define success metrics, guide long-term roadmaps, and embed data science deeply into product development. As a trusted advisor to senior leadership, you will bring clarity to complex problems, drive prioritization across competing initiatives, and influence executive decisions with well-structured, evidence-based recommendations. This role operates at both strategic and execution levels. You must be comfortable navigating ambiguity, setting direction in complex problem spaces, and balancing immediate product impact with long-term capability building.

Lead organizational transformation: Champion a culture that balances data-driven rigor with informed intuition in decision-making, helping teams across iCloud integrate data science insights into product and business strategy.
Set the data science vision: Establish the long-term strategy for analytics, experimentation, and machine learning across iCloud and Enterprise domains, ensuring statistical rigor and scalable data science practices that support product and business priorities.
Drive product and business impact through data: Guide large-scale experimentation, causal inference, predictive modeling, and optimization efforts that inform product direction, engagement, growth, and enterprise value.
Influence executive decision-making: Partner closely with Product, Engineering, Design, and Business leaders to define success metrics, shape roadmaps, evaluate trade-offs, and guide strategic decisions through data-driven insights.
Elevate data science capabilities across the organization: Establish best practices for analytical rigor, experimentation, and insight generation while enabling teams to work effectively with large datasets and scalable data infrastructure.

10+ years of experience in data science, analytics, or applied machine learning.
5+ years of experience leading and scaling data science teams, including managing managers.
Proven track record supporting product development in large-scale consumer or enterprise environments.
Strong foundation in statistics, experimentation design, causal inference, and machine learning methodologies.
Experience working with large, complex datasets and modern data ecosystems.
Experience with large-scale experimentation, recommendation systems, personalization, growth analytics, or optimization at scale.
Experience overseeing large-scale data science initiatives and cross-functional data infrastructure initiatives.
Advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
Exceptional communication skills with the ability to influence both technical and non-technical stakeholders.
Demonstrated ability to operate effectively in ambiguous, complex environments and set clear direction.

Maintain deep awareness of the rapidly evolving AI ecosystem and apply those insights to guide team and organizational strategy.

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 $267,800 and $401,700, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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