AI/ML – Manager, Experimentation Methods, Siri Data

Job Overview

Key Qualifications

Experience building experimentation systems (not just running experiments) – you don’t need to have written production code, but you need a strong understanding of how these systems are engineered so you can partner effectively with Experimentation Platform Engineering and drive requirements that influence the platform roadmap.

You have at least 5 years of industry experience, and you’ve managed teams for at least 2 – ideally, even scaled a team from an early stage.

Expertise in causality (experimentation, econometrics, and general statistical modeling), and have knowledge of how to leverage these skills to solve complex business problems.

Strong communication skills (written and verbal) and the ability to explain technical topics (especially causal inference) to data scientists, engineers, and business partners.

Ability to stay focused and prioritize competing demands while achieving exceptional quality

History of building and managing cross-functional partnerships

Innovative, collaborative, and product focused

Description

The Siri Data Organization is seeking a talented Data Science Manager to lead a team dedicated to Experimentation (A/B) methods! You will:- Lead a currently small but growing team of scientists focused on scalable experimentation methods – together you’ll build systems, methods, and tools to handle large volumes of experiments at a time!- Drive a roadmap for the development and iteration of Siri Assistant’s experimentation methods. – Partner with Apple’s Experimentation Platform Engineering team to integrate the platform with the Siri Assistant – the Experimentation Methods team will not write production code, but they will collaborate on requirements and how parts of the system function (e.g., logging, allocation, etc.). – Socialize experimentation across the organization, ensuring good practice and processes are in place to ensure fruitful product development.

Education & Experience

Statistics, Cognitive Science, Economics, Sociology, or other quantitative fields. Prefer advanced degree.

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