Senior Product Data Scientist, Marketplace Algorithms ML

<div class="content-intro"><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p data-pm-slice="1 1 []"><span data-sheets-root="1">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.</span></p> <p><em>This role follows a hybrid work schedule and you will report to a Product Data Science Lead</em></p> <p><strong>You will:</strong></p> <ul> <li>Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo’s Marketplace</li> <li>Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions</li> <li>Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations</li> <li>Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning</li> <li>Define, conduct and evaluate experiments on new models</li> </ul> <p><strong>You have:</strong></p> <ul> <li>Statistical knowledge</li> <li>Coding skills (Python and SQL)</li> <li>Experience with Machine Learning</li> <li>Experience with Reinforcement Learning</li> <li>Experience with experimentation</li> <li>At least 4 years of industry experience</li> </ul> <p><strong>We prefer:</strong></p> <ul> <li>Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…)</li> <li>Experience with optimization</li> <li>Experience at another Ride hailing or Marketplace company</li> </ul> <p> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-weight: 400;">The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. </span></p> <p><span style="font-weight: 400;">Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. </span></p></div><div class="title">Salary Range</div><div class="pay-range"><span>$196,000</span><span class="divider"></span><span>$248,000 USD</span></div></div></div>