Staff Product Data Scientist, Experimentation

Waymo•Mountain View, CA

11d•$230,000 - $284,000•Hybrid

About The Position

Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. In this hybrid role, you will report to a Staff Product Data Scientist.

Requirements

An advanced degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Computer Science)
8+ years of industry experience with a deep focus on causal inference, experimental design, and applied statistics
Proficiency in SQL and Python, with a track record of partnering with engineering to build automated experimentation tools
Strong product sense and the ability to explain technical concepts to non-technical stakeholders

Nice To Haves

Experience with two-sided marketplaces and physical-world operations (e.g., ride-hailing, delivery)
Familiarity with core marketplace systems (e.g., pricing, matching)
Experience integrating algorithmic methods into large-scale internal platforms

Responsibilities

Define the science roadmap for Waymo’s marketplace experimentation platform
Develop advanced testing methodologies to solve for physical-world dynamics like network effects and spatial-temporal correlations
Establish rigorous best practices for experiment design and evaluation across the broader product organization
Partner with engineering to translate algorithmic logic into automated, production-grade pipelines
Act as the primary domain expert on causal inference, providing technical leadership and translating complex results into clear product strategy