Join WeRide's Metrics Team as a Data Scientist, focusing on data processing, statistical analysis, and visualization to support autonomous driving systems.
Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.
WeRide.ai Silicon Valley team is seeking a motivated Data Scientist to join our Metrics Team. This role focuses on supporting the development and validation of L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems through foundational data analysis. As a Data Scientist, you will contribute to ensuring the safety and reliability of our autonomous technologies by assisting with data processing, data analysis, and statistical evaluation.
What You Will Do:
- Data Processing : Extract, clean, and manipulate datasets using Python and SQL to support system performance assessments.
- Statistical Analysis : Apply advanced statistical methods (e.g., hypothesis testing, regression) to interpret behavioral data, identify trends, and evaluate system performance.
- Data Visualization : Create clear visualizations to communicate insights to engineers and stakeholders.
- Team Collaboration : Work with simulation, engineering, and product teams to integrate evaluation feedback.
Requirements
- Quantitative Degree : Current enrollment in a PhD or Master program in Statistics, Applied Statistics, Biostatistics, Econometrics, Physics, Computer Science, Engineering, or related fields.
- Statistical Knowledge : Familiarity with advanced statistical concepts (experimental design, hypothesis testing, causal inference, time series analysis, etc).
- Programming Skills : Proficiency in Python and SQL for data tasks.
- Communication : Ability to explain technical findings to diverse audiences.
- Flexibility : Comfort collaborating across global time zones.
Bonus Points
- Excellent skills in metric design and analysis, with the ability to solve complex problems quickly.
- Familiarity with the principles and applications of machine learning and deep learning algorithms.
- Familiarity with open-source frameworks and simulation platforms related to autonomous driving.
What Happens Next:
We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 3 interviews with your future colleagues to better inform our decision.
During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process.
We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today!
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Top Skills
Python
SQL
WeRide.ai San Jose, California, USA Office
2630 Orchard Pkwy, San Jose, CA, United States, 95134
Similar Jobs
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Technical Sourcer will lead the full-cycle hiring strategy for hardware teams, focusing on building top-tier talent pipelines and collaborating with stakeholders to improve recruitment processes.
Top Skills:
GemGreenhouseLinkedin Recruiter
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
Seeking a Senior Technical Recruiter to drive hiring strategies for software teams. Responsibilities include managing recruitment processes, collaborating with stakeholders, and maintaining high candidate experience.
Top Skills:
GemGreenhouseLinkedin Recruiter
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
Manage recruiting strategies and processes for hardware teams. Collaborate with teams, drive hiring projects, and improve candidate experience while utilizing advanced recruitment technologies.
Top Skills:
GemGreenhouseLinkedin Recruiter
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
