Apple Services Data Scientist

1 month ago

Sunnyvale, United States Apple, Inc. Full time
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. The Product & Services Support Insights team is seeking a Data Scientist for our Services programs. You will identify insights that influence new strategies for supporting our services. You will also be a hands-on, hard-working expert with analytics tools. Experience turning complex data into clear, actionable insights, delivered in a fast pace environment, is key to success in this role.

Description

The AppleCare Services Data Scientist analyzes and evaluates Apple Services transactional performance and customer support. In order to do so, you will develop and engineer new data assets and performance metrics to scale the team's analytical capabilities. To extract maximum value from customer data, you will leverage the latest AI techniques to summarize, interpret, and convey the voice of the customer. You will communicate the resulting analyses to audiences of all levels across Apple to influence product changes and enhance the customer experience. Critical to driving change is the ability to instill confidence in the analyses you deliver, so strong communications skills are imperative.

Minimum Qualifications

  • Masters in Data Science, Machine Learning, Mathematics, Statistics, Physics, Computer Science, or MBA with a data science concentration.
  • Industry experience in a Data Science role, in the areas of Data Mining, Machine Learning, or Statistics.
  • Expert level proficiency with Python, and experience implementing Machine Learning algorithms.
  • Expert level proficiency in SQL, preferably with Snowflake.
  • Proficiency in Tableau.
  • Ability to synthesize data from multiple sources to answer business questions with quantitative and qualitative analysis.
  • Excellent interpersonal, written, and verbal communication skills.


Preferred Qualifications

  • PhD in Data Science, Machine Learning, Mathematics, Statistics, Physics, or Computer Science.
  • Experience in implementing Large Language Models and Graph Databases.


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 $165,500 and $248,700, 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.


  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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