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Apple Data Science Manager, Health in Cupertino, California

Data Science Manager, Health

Santa Clara Valley (Cupertino), California, United States

Machine Learning and AI

  • 10+ years experience on data science, analytics, or reporting teams that support product development. 5+ years leading teams.

  • Excellent communication, collaboration, partner management, and planning skills; proven success building consensus for an innovative and bold vision of how data can improve the user experience.

  • Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product. You should have a shown ability to work with executive level partners and peers across a range of functions.

  • Be able to guide and lead analysis, investigation, and experimentation efforts across teams of data scientists and data analysts.

  • Proven business insight; ability to understand and anticipate the decisions partners can make supported by data.

  • Experience in partnering to create and execute upon a team/group vision. Ability to hire, mentor, and grow the skills of individual contributors in data analysis and data science.

  • Well-rounded individual with the ability to write code to query and transform both unstructured and structured data—acting as a mentor to your team in these areas—while not afraid to dig in and get into the details.

  • Previous programming skills in Python, SQL, or similar and comfort with advanced analytics tools such as Pandas, R, Spark, and Tableau.

  • Experience in advanced quantitative methods and model development with a strong focus in exploratory data science. Experience with regression, classification, clustering, and time-series analyses. Strong understanding of statistical theory and applications.

  • Partner effectively with engineering partners to meet the data needs of the business, translating feature requirements into data science and data engineering requirements.

  • Possess a real passion for innovation and have a knack for seeing around corners


  • Define and share a strategic vision for the function. Lead a talented team with proven data science & analytic skills. Motivate and ensure success for the team by defining roles and responsibilities that are clearly communicated, establish processes, and develop personal development plans. - Contribute to developing strategic and tactical plans for the support of Health projects. All with a focus on supporting customer privacy and control of their data. - You will partner with other leaders across Health to achieve success against complex initiatives. - You will lead, recruit, and guide a team with varied strengths of high-performing data analysts and data scientists focused on diving deep into a complex space. Own and deliver against a prioritized multi-year roadmap across ML, analytics, datasets, reports, and dashboards that takes into account new feature and product launches. - You will Increase internal adoption of advanced analytics methods including machine learning and statistics. - Propose marketing and product changes backed by well-defined experiments and data analytics. - Design and evaluate experiments that help define opportunities for improved product feature effectiveness and greater customer satisfaction. - Analytics, statistical analysis, and visualization of data to help understand our data.

Education & Experience

Phd in Statistics, BioInformatics, Physics, Operations Research or similar quantitative domain. Alternatively, a comparable industry career with significant experience in data science.

Additional Requirements

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