Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: aeac860ab30f94cc3fed33e2dff865a9
- Posted 30+ days ago
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