• Job Description

  Req#: 200495552

  Summary

  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 the 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 AppleCareʼs extended warranty products. You will build data engineering assets and statistical/machine learning models to surface useful business insights. The role engages with cross functional business teams to define the problem statement, design analytical solutions and operationalize the solutions.

  Key Qualifications

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

  Description

  You 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. You will be responsible for end-to-end analytical insights generation and data visualization for monitoring critical metrics related to churn, claims, enrollments, cannibalization and predictive modeling on new AppleCare products, build ML models to determine the financial and supply chain impact to Apple’s AppleCare Business development domain. You will also perform inquisitive and predictive analysis to provide insight on key critical initiatives at AppleCare and communicate the findings and insights to senior leadership at Apple.

  Education & Experience

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

  Additional Requirements

  Pay & Benefits

  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $160,700 and $241,500, and your base pay will depend on your skills, qualifications, experience, and location.
    
    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
    
    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

• About the company

  Work at Apple! Join a team and inspire the work. Discover how you can make an impact: See our areas of work, worldwide locations, and opportunities for students.

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