SummaryPosted: Jul 31, 2025Weekly Hours: 40Role Number:200605282-0157Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Apple's Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You'll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.Description• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation • Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization • Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources • Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale • Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains Partner with cross-functional leaders to align analytics initiatives with strategic objectives • Evangelize data science best practices and help embed a data-informed culture across teams • Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomesMinimum QualificationsBachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles2+ years of experience leading and mentoring data-focused teamsProficiency in SQL and at least one programming language (e.g., Python, R)Strong background in experimentation design, causal inference, and statistical analysisExperience working with large-scale data pipelines and production-level analytics systemsProven ability to drive measurable business impact through data and automationPreferred QualificationsExperience with building robust monitoring systems to track data and model health in productionExpertise in data storytelling and creating stakeholder-ready visualizations and narrativesAbility to connect insights to business outcomes and influence strategyFamiliarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML ops toolingPassion for fostering inclusive team environments and valuing diverse perspectivesClear communicator who can translate complex technical concepts into actionable business languageApple 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.
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.