Data Science Intern

WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible. WeRide.ai Silicon Valley team is seeking a motivated Data Science Intern 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 an intern, 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 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.