App Store Data Scientist

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $172,100–$305,600 / yr
Posted: 69 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $239k

$74k most similar roles pay here $330k

This role pays more than 92% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $239k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · App Store Data Scientist

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Join Apple’s Revenue and Subscriptions Data Science team as a senior data scientist where you will drive the financial health of Apple Services by analyzing transactional and subscription data to inform strategic business decisions. Your day-to-day involves crafting sophisticated metrics, conducting deep dives into large datasets to uncover key insights for product improvements, and executing experimental measurement plans to evaluate new features. You’ll use advanced tools like A/B testing and causal modeling to assess the impact of various initiatives while building strong partnerships across departments to deliver actionable insights. This role requires mastery in SQL-based languages and proficiency with PySpark, alongside a proven track record in measuring user behavior and business impact using sophisticated analytics. Ideal candidates have experience in digital subscription businesses or e-commerce platforms and excel at communicating complex data-driven findings to both technical and non-technical stakeholders.

Skills

SQL PySpark A/B testing Causal modeling Python Tableau PowerBI R Jupyter Notebook Apache Spark MLOps CI/CD Git AWS Google Cloud Platform Azure

What you'll do

Establish and enhance metrics to accurately represent the financial health of Apple Services businesses.
Craft deep dives into large-scale data to identify key insights for product improvements and business strategy.
Develop and execute experimental measurement plans for new subscriptions and commerce products.
Employ A/B testing and causal modeling to understand the effects of multiple initiatives on business outcomes.
Build positive relationships with key partners across the company to deliver actionable insights effectively.
Collaborate with business, marketing, finance, and executive teams to generate regular presentations for C-level executives.

What we're looking for

5+ years of professional experience in data science, machine learning, or digital product analytics.
Mastery in SQL-based languages and proficiency with large-scale data tools like PySpark.
Proven ability to measure user behavior, customer engagement, and business impact using advanced analytics.
Strong background in experimental design and interpreting observational results effectively.
Excellent communication skills for presenting insights to both technical and non-technical audiences.
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.

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