AppleCare Business Insight Data Scientist

Santa Clara Valley (Cupertino), California, United States
Operations and Supply Chain


Weekly Hours: 40
Role Number:200170829
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The people here at Apple don’t just craft 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. Join Apple and help us leave the world better than we found it! AppleCare Business Insight is a dynamic data science organization that provides insight to improve post-sale ownership experience and to drive business impact. This role is for a full-stack data scientist within the AppleCare BI team to provide data driven insight to improve revenue and margin for AppleCare. You will build data engineering assets and statistical/machine learning models to surface actionable business insights. The role engages with the cross functional business teams to define the problem statement, design analytical solutions and operationalize the solution. Please note: this position can be located in either Austin or Santa Clara Valley

Key Qualifications

  • At least 5 years of experience required
  • Expertise in data engineering using SQL
  • Expertise in building predictive models using R/Python is required
  • Proficient in building Tableau Dashboards
  • Strong quantitative academic background
  • Ability to network broadly across the organization and drive collaboration
  • Proven oral and written communication skills
  • Experience in providing analytics support for subscription business is a plus


You will be responsible for end-to-end analytics support for out-of-warranty repairs. You will provide data driven solution to solve business problems. This will include building KPIs to track business performance, performing descriptive and inquisitive analytics using SQL and Tableau, building predictive models in R/Python, and communicating the insight to business stakeholders.

Education & Experience

BA/BS in a quantitative field (Statistics, Computer Science, Ops Research etc.). Master's degree a plus

Additional Requirements