App Store Data Scientist

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$175,500–$311,700 / yr
Posted
160 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $244k
$86k most similar roles pay here $336k

This role pays more than 90% of similar roles. Most pay $126,800–$214,000 — the shaded band above. At the midpoint, this role pays about $244k versus about $170k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · App Store Data Scientist

The App Store Data Scientist joins the Revenue and Subscriptions Data Science team to support transaction and subscription businesses across various services including Apple Music, Apple TV+, and Apple Arcade. This role focuses on improving financial health by sizing, measuring, and recommending initiatives related to in-app purchases, subscription renewals, payment authorizations, and transaction efficiencies. The successful candidate will establish operational metrics, perform deep dives into large-scale data to inform product strategy, and execute experimental measurement plans for new commerce features. Key responsibilities include utilizing A/B testing and causal modeling to evaluate interrelated initiatives while collaborating with marketing, finance, and executive teams. Required skills include mastery of SQL-based languages, proficiency in PySpark, and experience measuring user behavior and engagement. The role addresses the core business problem of optimizing transaction health across multiple digital subscription lines.

What you'll do

  • Establish and socialize top-line and operational metrics to represent the business state of health.
  • Perform deep dives into large-scale data to identify insights for product improvements and strategy.
  • Develop and execute experimental measurement plans for new subscription and commerce features.
  • Use A/B testing and causal modeling to measure the impact of interrelated initiatives.
  • Analyze in-app purchases, subscription renewals, payment authorizations, and transaction efficiencies.
  • Create regular presentations for C-level executives based on actionable data insights.
  • Measure user experience behavior, customer engagement, and business impact using advanced tools.

What we're looking for

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
  • Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field is preferred.
  • 5+ years of professional experience in data science, machine learning, or digital product analytics.
  • Mastery in SQL-based languages and proficiency in large-scale data languages such as PySpark.
  • Proven record measuring user behavior, customer engagement, and business impact using sophisticated analytic tools.
  • Practical experience with experimental test design and interpreting observational results.
  • Excellent verbal and written communication skills to present to both technical and non-technical audiences.
  • Experience in a digital subscription business or for an e-commerce platform is preferred.

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