Services Finance, Data Scientist

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $172,100–$258,600 / yr
Posted: 21 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $215k

$111k most similar roles pay here $274k

This role pays more than 81% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $215k versus about $169k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Services Finance, Data Scientist

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As a Data Scientist on Apple’s Services Finance team, you will collaborate with diverse business and engineering teams to transform complex financial challenges into actionable data-driven solutions. Your daily tasks include leveraging AI coding assistants like Claude Code and agentic AI frameworks to rapidly prototype and deploy scalable analytical models and pipelines. You will conduct rigorous statistical analysis and model validation to ensure the effectiveness of your solutions, while also creating user-friendly analytics tools and dashboards for stakeholders. This role requires a strong background in Python or R programming, SQL data wrangling, and expertise in machine learning techniques, with an emphasis on prompt engineering and agentic AI workflows to enhance productivity and innovation.

Skills

Python R SQL AI coding assistants Claude Code Git CI/CD Docker Snowflake BigQuery Spark Airflow Shiny Quarto Streamlit Tableau API development Bayesian methods Time series forecasting Anomaly detection Data visualization

What you'll do

Develop data-driven solutions to complex business problems by partnering with stakeholders.
Design and implement AI-accelerated analytical frameworks for scalable and reliable delivery.
Rapidly prototype solutions using AI coding assistants to validate approaches early.
Build and deploy production-ready models, ensuring performance monitoring and reliability.
Conduct statistical analysis and model validation to measure impact and effectiveness.

What we're looking for

5+ years of data science or related analytical experience
Bachelor's degree in quantitative fields like applied mathematics or statistics
Ability to translate business problems into data requirements and solutions
Strong programming skills in Python or R with AI coding assistant usage
Expertise in SQL, statistical methods, and machine learning for business applications
Experience with prompt engineering and agentic AI workflows for automation

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