App Store Data Scientist

Apple Inc.; Cupertino (CA); On-site; USD 175,500 - 311,700; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Stock programs

Relocation assistance

Tuition reimbursement

Job summary

Apple Inc. in Cupertino seeks a Revenue and Subscriptions Data Scientist to optimize Apple Services’ subscription businesses across App Store, Apple Music, Apple TV+, Apple Arcade, Apple One, and more.

You will size, measure, and recommend initiatives to grow financial, transaction, and subscription health; collaborate with cross-functional partners; and present findings to executives using advanced analytics.

Qualifications

• 5+ years of professional experience in data science, machine learning, or analytics.
• Mastery in SQL-based languages and proficiency with PySpark for large-scale data.
• Proven track record measuring user behavior, engagement, and business impact.

Responsibilities

• Establish and socialize top-line and operational metrics; perform deep dives to extract insights.
• Develop experimental measurement plans and use A/B testing and causal modeling to assess initiatives.

Skills

Data science

SQL

PySpark

Experimentation

Communication

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field

Tools

SQL

PySpark

Job description

Cupertino, California, United States Software and Services

At Apple, we have phenomenal ideas that have a way of becoming great products, services, and customer experiences! We are seeking a Revenue and Subscriptions Data Scientist to join a team passionate about Data Science & Analytics for Apple Services to support transaction and subscription businesses across App Store, Apple Music, Apple TV+, Apple Arcade, Apple One, and other services!

Description

You will play a key role understanding and optimizing the businesses under Apple Services as a part of the Revenue and Subscriptions Data Science team. As a member of this team, you will help us to grow the financial, transaction, and subscription health of our businesses by sizing, measuring, and recommending impactful initiatives. Responsibilities will include understanding the impact across in-app purchases, subscription renewals, payment authorizations, transaction efficiencies across multiple lines of businesses.

Responsibilities

• As a data scientist on the Revenue and Subscriptions Data Science team, you’ll establish, enhance, and socialize top line and operational metrics that accurately represent the business state of health; craft deep dives in large-scale data to identify key insights that inform product improvements and business strategy; and develop, improve, and execute on experimental measurement plans for new subscriptions and commerce products and features.
• As a part of this team, you will employ sophisticated analytic tools such as A/B testing and causal modeling to accurately understand the effect of multiple and often interrelated initiatives; build and maintain positive relationships with key partners across the company to successfully deliver actionable insights; and collaborate with business, marketing, finance and executive teams to generate regular presentations for C-level executives.

Minimum Qualifications

• 5+ years of professional experience in data science, machine learning, or digital product analytics
• Mastery in SQL-based languages, and proficiency large-scale data languages such as PySpark
• Proven record measuring user experience behavior, customer engagement, and business impact using sophisticated and appropriate analytic tools
• Strong proponent of experimental test and design, and practical experience with interpreting observational results
• Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytics teams
• Strong verbal and written communication and presentation skills across both technical and non-technical audiences
• Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field

Preferred Qualifications

• Experience in a digital subscription business or for an e-commerce platform
• Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field

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 $175,500 and $311,700, 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 seek to promote 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.