Staff Data Scientist, Autonomous Driving Analytics

OpenDigital Limited; Sunnyvale, Northern (CA, KY); Hybrid; USD 276,000 - 311,000; Full time

Job summary

Wayve in Sunnyvale, CA is seeking a Data Scientist to support AI engineers, combining real and simulated driving analyses to improve the Wayve Driver. You will help define performance metrics and guide engineering decisions to push the technology forward.

The role emphasizes designing robust experiments, evaluating test statistics, and communicating insights across teams to drive product and safety improvements in autonomous mobility. This is a hybrid, full-time position with equity potential.

Qualifications

• 3+ years experience in a Data Science role.
• Fluent in querying and building large datasets; production-level SQL.
• Experience designing robust real-world experiments (e.g. A/B).
• Foundations in statistics; distributions and frequentist testing.
• Proficient in Python or R with data science/ML packages.
• Ability to summarize and communicate findings effectively.
• Track record of influencing team direction with findings.
• Bias toward actionable insights for prioritisation.

Responsibilities

• Formulate performance metrics guiding engineering progress toward commercial goals.
• Design experiments and off-road measurements to ensure product requirements and safety.
• Investigate model training and inference bottlenecks to unlock improvements.

Skills

SQL

A/B testing

Statistics

Python

R

Data visualization

Cross-functional collaboration

Curiosity about AV2.0

Tools

PyTorch

Pandas

Scikit-learn

Statsmodels

SciPy

Spark

Hadoop

Job description

Wayve in Sunnyvale, CA is seeking a Data Scientist to support AI engineers, combining real and simulated driving analyses to improve the Wayve Driver. You will help define performance metrics and guide engineering decisions to push the technology forward.

The role emphasizes designing robust experiments, evaluating test statistics, and communicating insights across teams to drive product and safety improvements in autonomous mobility. This is a hybrid, full-time position with equity potential.