Staff Product Data Scientist, Experimentation

Job description

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.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.

Job 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

Job 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

Apply on Waymo website Save

Staff Product Data Scientist, Experimentation

Job description

Job responsibilities

Job requirements

Similar jobs