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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