Services Finance, Data Scientist

Apple • Cupertino, CA • 3h ago

Role Number: 200663117-0836

Summary

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!

The Services Finance Data Science and Engineering team is seeking a passionate and highly motivated data scientist who excels at the intersection of traditional data science and modern AI capabilities. You will play a key role in shaping the success of Apple's current and future products by leveraging both foundational data science expertise and cutting-edge AI tools to accelerate solution development.

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 proto@type, 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.

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

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

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