Services Finance, Data Scientist

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. At Apple, you'll share in a commitment to excellence by partnering with a world-class team to create innovative products that delight customers. Finance is about fueling innovation. We do this by hiring quality individuals with integrity, personal accountability, teamwork, excellence, and proactive thinking. If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you!

Services Finance Data Science and Engineering team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. You will provide a key function in shaping the success of Apple's current and future products. As members of the Services Finance Data Science and Engineering team, we work with various business and engineering teams to understand current and future business initiatives. We need to be persistent and flexible in extracting data from various sources, cleaning and curating this data, and then clearly and concisely communicating insights.

Description

As a member of the Services Finance Data Science and Engineering team, you will partner with various business and engineering teams to translate complex business requirements into data-driven solutions. You will demonstrate proficiency in using AI coding assistants (such as Claude Code, Codex, etc) and leverage agentic AI frameworks to rapidly prototype, iterate, and deploy analytical solutions. Success in this role requires combining strong statistical and machine learning fundamentals with the ability to effectively prompt, guide, and collaborate with AI tools to maximize productivity and innovation.

Responsibilities:

Partner with stakeholders to understand complex business problems and identify opportunities for data-driven impact

Design and implement analytical frameworks that directly address business needs while leveraging AI tools to accelerate delivery

Rapidly prototype solutions using AI coding assistants to validate approaches and gather early feedback

Build and deploy production-ready models and automated analytics pipelines, ensuring scalability, reliability, and performance monitoring

Conduct rigorous statistical analysis and model validation to measure impact and ensure solution effectiveness

Create self-serve analytics tools and dashboards that empower stakeholders to make data-informed decisions independently

Preferred Qualifications

Advanced modeling expertise: Time series forecasting, Bayesian methods, or anomaly detection

Data visualization & storytelling: Experience with interactive visualization tools and report generation frameworks such as Shiny, Quarto, Streamlit, Tableau, etc.

Data infrastructure proficiency: Modern data platforms (Snowflake, BigQuery, Spark), workflow orchestration (Airflow, GitHub Actions, etc.), and containerization (Docker)

API development and integration: Building and consuming REST APIs, database connectivity

Software engineering practices: Git, CI/CD pipelines, shell scripting, and production deployment experience

Minimum Qualifications

5+ years of experience in a data science or related analytical role

Bachelor's degree in applied mathematics, statistics, computer science, data science, economics, or related quantitative field

Creative and curious thinker with ability to translate business problems into data requirements and actionable solutions

Proven "builder" mentality: demonstrated ability to independently execute from idea to implementation, with track record of shipping production solutions with minimal oversight

Excellent communication skills with ability to present complex findings to both technical and non-technical audiences

Strong programming proficiency in Python or R, with demonstrated experience using AI coding assistants (e.g., Claude Code, GitHub Copilot) to accelerate development

Expertise in SQL and data wrangling with large-scale datasets

Strong foundation in statistical methods and machine learning, with experience applying these techniques to solve business problems

Experience with prompt engineering and developing agentic AI workflows for automation and efficiency

Pay & Benefits

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 $172,100 and $258,600, 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.