Data Scientist focused on designing and implementing quantitative metrics to evaluate autonomous vehicle behavior using large-scale logs and simulation data.
176k – 240k
Hybrid2+ YOEData Science
About the role
Responsibilities
Design, develop, and implement quantitative behavior metrics that assess AV performance across diverse driving scenarios and geofences
Build and maintain data pipelines and dashboards to track simulation and fleet metrics across geographies and software versions
Identify performance gaps and regressions by analyzing large-scale vehicle logs and simulation data
Drive the definition of metric thresholds and acceptance criteria to support geofence expansion decisions
Communicate findings and metric frameworks clearly to technical and non-technical audiences
Requirements
B.S. or M.S. in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience)
2+ years of experience in data science, with a focus on metric design and development or performance evaluation
Strong proficiency in Python in production environments with standard repo practices
Experience working with time-series or sensor data
Ability to work cross-functionally and distill complex technical requirements from diverse stakeholders
Nice-to-Haves
Familiarity with robotics or AV data
Proficiency in C++
Experience with simulation-based validation and metrics
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