Senior Product Data Scientist, Pickups & Dropoffs at Waymo UK Ltd

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

242000.0

Posted On

27 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, A/B Testing, Product Development, Machine Learning, Data Pipeline Development, Communication, Stakeholder Management, Geospatial Data Analysis

Industry

technology;Information and Internet

Description

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. 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 the Manager of Product Data Science. You will: Work with Product & Engineering stakeholders to understand and improve Waymo’s pickup & dropoff (aka “PuDo”) performance across various contexts Run experiments to ensure that new driving behaviors are creating the intended improvements for our riders Build ML models to identify anomalous PuDo behavior Develop metrics that clarify what a ‘good’ PuDo is in various contexts, and collaborate with data engineers to ensure metric availability Help us improve and validate performance for Airport PuDos as we scale to more airports Conduct deep dive analysis to identify areas for future improvement You have: Coding skills (Python & SQL) Experience with A/B testing & Product Development ML Experience Proficiency in data pipeline development At least 5 years of industry experience Strong Communication and Stakeholder & Management skills We prefer: SF Bay Area based Experience with geospatial data Travel requirements: Potential to travel to pre-launch Waymo territories 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. 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. Salary Range $196,000—$242,000 USD

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Collaborate with Product and Engineering teams to optimize pickup and dropoff performance for autonomous vehicles. Develop ML models, metrics, and conduct deep-dive analyses to improve rider experience and operational efficiency.