Staff Product Data Scientist, Experimentation

Waymo

Mountain View (CA)

Hybrid

USD 230,000 - 284,000

Full time

14 days+
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Benefits offered by this job

Discretionary annual bonus
Equity incentive plan
Generous benefits

Job summary

Waymo is seeking a Product Data Scientist to lead causal inference, experimentation design, and applied statistics for the marketplace platform. In a hybrid role reporting to a Staff Product Data Scientist, you will define the science roadmap, develop testing methodologies, and partner with engineering to operationalize models.

You will work with cross‑functional teams to translate complex results into clear product strategy and drive decisions that impact ride‑hailing operations.

Qualifications

  • 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

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

Skills

Causal inference
Experimental design
Product sense
Communication

Education

Advanced degree in Statistics/ Economics/ Operations Research/ Computer Science

Tools

SQL
Python

Job description

Waymo is seeking a Product Data Scientist to lead causal inference, experimentation design, and applied statistics for the marketplace platform. In a hybrid role reporting to a Staff Product Data Scientist, you will define the science roadmap, develop testing methodologies, and partner with engineering to operationalize models.

You will work with cross‑functional teams to translate complex results into clear product strategy and drive decisions that impact ride‑hailing operations.

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