Summary

Posted: Jun 25, 2020Weekly Hours: 40Role Number:200176558Imagine 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.Key Qualifications

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

DescriptionYou will build data science solutions for AppleCare business; develop data assets and products to provide data-driven solutions using advanced statistical techniques and machine learning for various business problems; forecast warranty returns for various Apple products for warranty accruals; build ML models to determine the financial and supply chain impact to Apple’s in-warranty repairs and repair extension program. You will also perform inquisitive and predictive analysis to provide insight on key strategic initiatives at AppleCare and communicate the findings and insights to senior leadership at Apple.Education & ExperienceBA/BS in a quantitative field (Statistics, Computer Science, Ops Research etc.). Master's degree a plus