Analytics Data Scientist - Quality Engineering, Siri

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something.

Description

The Siri Quality Engineering team is seeking an Analytics Data Scientist to build a Curated, Accurate, Reliable data lake—a governed lakehouse with point-in-time and near-real-time pipelines, and a clear semantic layer—so teams trust and use data. You will ultimately be part of a collaborative team that's responsible for understanding how well our products work, advocating for critical changes, and representing how they'll be experienced by our customers. We deliver descriptive, diagnostic, prescriptive, and predictive analytics that show what’s happening, explain why, recommend what to do, and empower decision automation. We publish certified metrics and models used in executive-facing reports, raising product quality, speeding releases, and reducing risk across all Apple platforms and locales. As a member of our passionate group in Siri, you will have the unique and rewarding opportunity to shape and improve our products to delight and inspire millions of Apple's customers every day.

Minimum Qualifications

5+ years in product/ops analytics or data science. Expert SQL; strong Python (pandas, NumPy, scikit-learn or PySpark). Statistics and experiment design (hypothesis testing, power, basic causal inference). Proven record of turning analysis and models into shipped decisions with measurable impact. Excellent communication with both technical and executive audiences. Experience with agentic AI-assisted coding.

Preferred Qualifications

Forecasting/time-series; optimization (LP/MIP) or simulation. MLOps basics (versioning, evaluation, monitoring). Tableau or similar for self-service analytics. Web Developer experience is a plus. BS/MS in a quantitative field.