Staff Product Data Scientist, Marketplace Machine Learning

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.

This role follows a hybrid work schedule and you will report to a Product Data Science Lead

• Partner with Engineering, Product, and Data Science to build ML models that improve the efficiency of Waymo's marketplace
  
  
• Build models that predict conversion, wait times, and retention, and estimate the value of a vehicle in different positions
  
  
• Apply forecasting models for demand and supply time series
  
  
• Develop novel reinforcement learning models that continuously tune pricing, matching, and positioning parameters
  
  
• Design, run, and evaluate experiments for new models
  
  
• Present findings and recommendations to Waymo leadership on a regular basis

• 8+ years of industry experience applying ML to production problems

• Strong foundation in algorithms

• Proficiency in Python and SQL

• Hands-on experience building and deploying ML and neural network models

• Experience applying reinforcement learning to real-world systems

• Experience building neural networks in TensorFlow, or JAX

• Experience at a ride-hailing or two-sided marketplace company

• MS or PhD in Computer Science, Statistics, Operations Research, or a related field