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 theres no telling what you could accomplish. At Apple youll 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 wed love to hear from you!nnThe 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 Apples current and future products by leveraging both foundational data science expertise and cutting-edge AI tools to accelerate solution development.

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.

Partner with stakeholders to understand complex business problems and identify opportunities for data-driven impactnDesign and implement analytical frameworks that directly address business needs while leveraging AI tools to accelerate deliverynRapidly prototype solutions using AI coding assistants to validate approaches and gather early feedbacknBuild and deploy production-ready models and automated analytics pipelines ensuring scalability reliability and performance monitoringnConduct rigorous statistical analysis and model validation to measure impact and ensure solution effectivenessnCreate self-serve analytics tools and dashboards that empower stakeholders to make data-informed decisions independently

5 years of experience in a data science or related analytical rolenBachelors degree in applied mathematics statistics computer science data science economics or related quantitative fieldnCreative and curious thinker with ability to translate business problems into data requirements and actionable solutionsnProven builder mentality: demonstrated ability to independently execute from idea to implementation with track record of shipping production solutions with minimal oversightnExcellent communication skills with ability to present complex findings to both technical and non-technical audiencesnStrong programming proficiency in Python or R with demonstrated experience using AI coding assistants (e.g. Claude Code GitHub Copilot) to accelerate developmentnExpertise in SQL and data wrangling with large-scale datasetsnStrong foundation in statistical methods and machine learning with experience applying these techniques to solve business problemsnExperience with prompt engineering and developing agentic AI workflows for automation and efficiency

Advanced modeling expertise: Time series forecasting Bayesian methods or anomaly detectionnData visualization u0026 storytelling: Experience with interactive visualization tools and report generation frameworks such as Shiny Quarto Streamlit Tableau infrastructure proficiency: Modern data platforms (Snowflake BigQuery Spark) workflow orchestration (Airflow GitHub Actions etc.) and containerization (Docker)nAPI development and integration: Building and consuming REST APIs database connectivitynSoftware engineering practices: Git CI/CD pipelines shell scripting and production deployment experiencen