Senior Manager, Product Data Science - Operations & Intelligence

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. 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.

Responsibilities

Set the vision for a team of Product Data Scientists; Lead the team to execute company vision at scale, owning all team outputs across optimizations, modeling, and data analysis; Analyze operational and vehicle data to enhance Waymo Driver performance, support rapid geographic expansion, and maintain continuous freedom of operation; Act as a key thought partner to senior leadership, aligning cross-functional stakeholders around a shared vision; Manage the prioritization of team resources to effectively partner with key cross-functional teams, including product, engineering, operations, and strategy

Requirements

12+ years of experience in a related technical field or equivalent practical experience; 5+ years of team management experience; 5+ years of experience with Machine Learning models and experimentations; Statistical knowledge/data intuition; Ability to structure and solve ambiguous problems; Coding skills and experience: Python, SQL and Data science related coding experience

Nice to have

Experience working with Product and Software Engineering teams; Prior experience building and managing both Data Scientists and Data Analysts; Marketplace business experience

Benefits

Discretionary annual bonus program; Equity incentive plan; Generous Company benefits program; Top-notch medical, dental and vision insurance; Mental wellness support; Gym membership; Special wellness programs; Competitive compensation; Employees provident fund; Employee discounts; Flexibility to work from another location for four weeks per year; On-site or hybrid work model; Remote working opportunities; Paid time off; Bereavement, sick, and parental leave