AppleCare Business Insight

Austin, Texas, United States
Software and Services

Summary

Posted:
Weekly Hours: 40
Role Number:200087514
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 AppleCare Business Insight team to provide data driven insight to improve revenue and margin for AppleCare’s extended warranty products. 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 problem statement, design analytical solution and operationalize the solution.

Key Qualifications

  • 2-3 years of experience required
  • Expertise in data engineering using SQL
  • Proficient in building Tableau Dashboards
  • A 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

Description

You will build data engineering assets using Teradata SQL and develop interactive, self-service Tableau dashboards. In addition, you will: - Program in Python/R to develop predictive and forecasting models - Develop advanced statistical/machine learning methods to improve KPIs - Mine huge datasets to drive actionable insights

Education & Experience

BA/BS in a quantitative field (Statistics, Computer Science, Ops Research etc.)

Additional Requirements