Waymo Logo

Waymo

Senior Product Data Scientist, Behavior

Posted Yesterday
Be an Early Applicant
8 Locations
Senior level
8 Locations
Senior level
As a Senior Product Data Scientist at Waymo, you will collaborate with Operations, Product, and Engineering teams to enhance fleet response and monitoring. Your role involves performing advanced analytics and modeling, building reporting infrastructure, and communicating findings to leadership. You'll apply your coding skills, data visualization, and advanced problem-solving abilities to optimize Waymo's response operations.
The summary above was generated by AI

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

Waymo's Product Data Science team works with Engineering, Product and Operations to help us make the most informed decisions using data. Our team collaborates on 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, and to new information.

In this hybrid role, you will report to a Product Data Science Manager, Commercial Operations.

You will:

  • Partner with Operations, Product and Engineering teams to scale and improve Waymo's fleet response and monitoring
  • Perform advanced analytics and modeling to optimize Waymo's response to vehicle needs while improving efficiency
  • Build and maintain state of the art reporting infrastructure to enable continuous decision making
  • Work closely with Engineering teams to define and build Data infrastructure for Fleet assistance and monitoring
  • Communicate and present on a regular basis to Waymo leadership

You have:

  • 5+ years of relevant experience
  • Advanced analytics skills
  • Ability to structure and solve ambiguous problems
  • Data visualization
  • Coding skills (SQL and basic python)
  • Great communication and stakeholder management

We prefer:

  • Expertise performing analytics on remote operations
  • Experience with improving operations at scale
  • Experience building Optimization models

#LI-Hybrid

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

$183,000$232,000 USD

Top Skills

Python
SQL

Similar Jobs

Be an Early Applicant
5 Hours Ago
Toronto, ON, CAN
20,000 Employees
Expert/Leader
20,000 Employees
Expert/Leader
Food • Retail • Agriculture • Manufacturing
The Director of Data Platform Governance will lead the development and implementation of a governance strategy for Enterprise data assets, ensuring data quality, privacy, and security. The role involves collaborating with cross-functional teams to drive data governance solutions across McCain's business units and establish metrics for data quality. Additionally, the Director will oversee compliance with relevant regulations and establish frameworks for AI governance.
Be an Early Applicant
6 Hours Ago
8 Locations
Remote
Hybrid
12,000 Employees
Senior level
12,000 Employees
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Machine Learning Engineer will design and implement ML pipelines and services to combat fraud in Cash App's banking products. This role involves developing next-generation ML solutions and collaborating with data scientists and software engineers to enhance security and user experience across a growing financial service platform.
Be an Early Applicant
6 Hours Ago
Toronto, ON, CAN
Hybrid
90,000 Employees
Entry level
90,000 Employees
Entry level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Cycle Counter / Plant Logistics Analyst ensures accurate inventory records through cycle counting and collaboration with teams. Responsibilities include managing logistics operations, analyzing stock discrepancies, maintaining SAP compliance, and improving inventory management processes. The role requires strong attention to detail and effective communication.

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account