Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b3.7
B2CTransportAutomation

Key Highlights

  • Operates in cities like Phoenix, San Francisco, and LA
  • Completed over 10 million fully driverless rides
  • Raised $11.1 billion in funding
  • Aiming for one million trips per week by 2026

Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...

🎁 Benefits

Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...

🌟 Culture

Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...

Waymo

Data Scientist Senior

WaymoMountain View - Hybrid

Posted 1w ago🏢 HybridSeniorData Scientist📍 Mountain View📍 San Francisco💰 $281,000 - $356,000 / yearly
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Overview

Waymo is seeking a Senior Staff Data Scientist to lead a specialized team focused on behavioral performance evaluation for autonomous driving technology. You'll work with Python, SQL, and machine learning methodologies to ensure safety and quality standards. This role requires extensive experience in data science and statistical analysis.

Job Description

Who you are

You have 5+ years of experience in data science, particularly in evaluating complex systems and ensuring their performance meets rigorous safety standards. Your background includes a strong foundation in statistical analysis and machine learning, allowing you to derive actionable insights from large datasets. You are proficient in Python and SQL, enabling you to manipulate and analyze data effectively. Your experience includes developing and deploying evaluation methodologies that enhance the rigor of performance assessments. You thrive in collaborative environments, working closely with engineering teams to provide the necessary tools for continuous improvement. You are detail-oriented and understand the importance of safety in autonomous driving technology, ensuring that all evaluations meet strict compliance requirements.

Desirable

Experience with autonomous systems or related fields is a plus, as is familiarity with data visualization tools that help communicate insights effectively. A background in behavioral evaluation or safety-critical systems will set you apart. You are comfortable working in a hybrid environment, balancing remote work with in-office collaboration.

What you'll do

In this role, you will lead a specialized data science team tasked with providing early insights into the behavioral performance of new hardware platforms and territories. You will develop statistical methodologies that bolster the rigor of evaluations, ensuring that the Waymo Driver meets its ambitious safety and performance goals. Collaborating closely with the Onboard engineering team, you will ensure they have the evaluation tools necessary to iterate and improve driving behavior across various contexts. Your work will directly impact the safety and quality of the Waymo Driver, contributing to the mission of improving mobility access and saving lives. You will also be responsible for mentoring junior team members, fostering a culture of learning and innovation within your team. Regularly, you will present findings to stakeholders, translating complex data insights into understandable recommendations that drive decision-making.

What we offer

Waymo offers a competitive salary range of $281,000—$356,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will enjoy a comprehensive benefits package that supports your health and well-being. The company culture emphasizes collaboration, innovation, and a commitment to safety, making it an exciting place to work in the rapidly evolving field of autonomous driving technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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