Staff Product Scientist - Experimentation & Causal Inference

Waymo; San Francisco (CA); Hybrid; USD 230,000 - 284,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Generous benefits

Job summary

Waymo is seeking a Staff Product Data Scientist to lead causal inference and experimental design for our marketplace platform. This hybrid role reports to a Staff Product Data Scientist and collaborates with Engineering, Product, and Operations to drive data-informed decisions.

You will define the science roadmap, develop advanced testing methodologies, and set best practices for experiment design and evaluation across the organization.

Qualifications

• Advanced degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Computer Science).
• 8+ years of industry experience with 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 ability to explain technical concepts to non-technical stakeholders.

Responsibilities

• Define the science roadmap for Waymo's marketplace experimentation platform.
• Develop advanced testing methodologies to address network effects and spatial-temporal correlations.
• Establish rigorous best practices for experiment design and evaluation across the product org.
• Partner with engineering to translate algorithmic logic into automated pipelines.
• Act as the primary domain expert on causal inference, translating results into product strategy.

Skills

Causal inference

Experimental design

Applied statistics

Education

Quantitative master’s degree or PhD

Tools

SQL

Python

Job description

Waymo is seeking a Staff Product Data Scientist to lead causal inference and experimental design for our marketplace platform. This hybrid role reports to a Staff Product Data Scientist and collaborates with Engineering, Product, and Operations to drive data-informed decisions.

You will define the science roadmap, develop advanced testing methodologies, and set best practices for experiment design and evaluation across the organization.