Full-Time

Staff Data Scientist

Apps Team

Posted on 3/8/2025

Apple

Apple

10,001+ employees

Designs and sells hardware and software

Compensation Overview

$157k - $278.9k/yr

+ Bonus + Commission

Culver City, CA, USA

Category
Data & Analytics (1)
Required Skills
Data Science
Apache Spark
Machine Learning
Hadoop
Requirements
  • 2+ years at the staff level as a data scientist with experience leading the development of data products and insights, as well as building machine learning modeling capabilities.
  • 6+ years of overall industry experience in the areas of data science, statistics, and/or modeling to support user growth of subscription services, product, and feature development.
  • Practical experience and theoretical understanding of advanced quantitative methods, statistical & machine learning model development, including regression, classification, clustering, anomaly detection, time-series analysis, deep learning, etc.
  • Excellent presentation skills, distilling sophisticated analysis and concepts into concise business-focused takeaways.
  • Strong skills in managing priorities and collaborating with diverse groups of collaborators, including engineering, product, business, design, etc.
  • Familiarity with data tools like Hadoop, Spark, Hive, etc.
  • Ability to extract product insights from data and identify the stories behind the patterns.
  • Bachelor's degree in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas, or the equivalent industry experience in a related field.
Responsibilities
  • Building models, providing insights, evaluating product launches, finding opportunities for future development, and many more.
  • Partnering with engineers, the product team, business leaders, designers, and other teams to bring better experiences to users and grow the business.
  • Engaging with business teams to see opportunities, understand requirements, and translate those requirements into technical solutions.
  • Managing large, sophisticated projects from conception to completion, identifying risks and developing frameworks, evaluating impact, and regularly connecting with collaborators and the leadership team.
  • Developing, validating, and maintaining advanced behavior, demographic, behavioral-based predictive models, tools, and other capabilities.
  • Collaborating with data engineers to implement robust production decision pipelines.
  • Collaborating with different teams to formulate innovative solutions to test and implement sophisticated data mining techniques.
  • Measuring the impact of growth initiatives for subscription businesses by improving user acquisition, conversion, and retention.
  • Collaborating and influencing other data scientist peers on modeling framework and statistical methods to uncover insights from large-scale data.
Desired Qualifications
  • M.Sc. or Ph.D. in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas.
  • A strong product sense and a passion for user experience.

Apple designs, manufactures, and sells hardware and software across iPhone, iPad, Mac, Apple Watch, and Apple TV, plus services like the App Store, Apple Music, iCloud, and Apple Pay. The products work together through an integrated ecosystem where devices run Apple’s own operating systems and sync data via iCloud, delivering a seamless user experience. It differentiates itself by controlling both hardware and software end-to-end, maintaining a unified design, and expanding services and spatial computing. Its goal is to provide a cohesive, high-quality experience across devices while growing services revenue and expanding its ecosystem.

Company Size

10,001+

Company Stage

IPO

Headquarters

Cupertino, California

Founded

1976

Simplify Jobs

Simplify's Take

What believers are saying

  • U.S. iPhone sales grew 1.3% while the broader smartphone market fell 5.7%.
  • The iPhone 17e held a $599 price while adding 256 gigabytes of storage.
  • Houston manufacturing expands Apple silicon supply and supports domestic AI server production.

What critics are saying

  • M3 Ultra Mac configurations on AWS commoditize Apple silicon and divert enterprise demand.
  • Apple Intelligence remains limited to newer devices, slowing upgrades across the installed base.
  • App Store monetization faces pressure from developer pushback and platform rule changes.

What makes Apple unique

  • Apple integrates hardware, software, and services into one tightly controlled ecosystem.
  • Its iPhone, Mac, Watch, and services portfolio creates strong cross-device lock-in.
  • Apple is expanding Apple Intelligence, accessibility, and spatial computing across its product stack.

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Benefits

Health Insurance

Dental Insurance

401(k) Retirement Plan

401(k) Company Match

Tuition Reimbursement

Performance Bonus

Relocation Assistance

Employee Stock Purchase Plan

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

-6%
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