Staff Product Data Scientist, Marketplace Machine Learning
Waymo · Mountain View, CA, USA; San Francisco, CA, USA
About this role
**Waymo — 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. This role follows a hybrid work schedule and reports to a Product Data Science Lead. **You will:** - 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 **You have:** - 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 **We prefer:** - 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 **Compensation (US):** - **$230,000 — $284,000 USD** (base salary range) Waymo employees may also be eligible for a discretionary annual bonus program, equity incentive plan, and generous Company benefits program (subject to eligibility requirements).
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