Autonomous Vehicle Metrics Scientist - Evaluation Analytics

Avride; Austin (TX); Sur place; USD 90 000 - 130 000; Plein temps

Résumé du poste

Avride is seeking a data scientist to define and evaluate metrics for autonomous vehicle systems. You will analyze real-world and simulated driving data, designing quantitative measures of driving behavior, safety, and passenger comfort.

You will work with cross-functional teams, apply statistical methods, and build scalable pipelines to automate metric computation and reporting. A background in Python/SQL and 2+ years in data science is required.

Qualifications

• 2+ years of experience in data science, applied statistics, or metrics development.
• Proficiency in Python and SQL for data analysis.
• Strong background in statistical methods (e.g., A/B testing, confidence intervals, regression).
• Experience designing metrics to evaluate complex systems (e.g., robotics, autonomous systems, or large-scale software).
• Ability to communicate technical findings to cross-functional stakeholders.

Responsabilités

• Analyze data from real-world and simulated autonomous vehicle experiments to evaluate system performance.
• Develop and refine quantitative metrics (both rule-based and ML-driven) to assess driving behavior, safety, and passenger comfort.
• Apply statistical inference and hypothesis testing to validate the sensitivity and reliability of metrics.
• Collaborate with autonomy software, simulation, and safety teams to prioritize improvements based on data-driven insights.
• Build scalable data pipelines to automate metric computation and reporting.
• Review driving logs and participate in test rides to ground analyses in real-world performance.

Connaissances

Data science

Statistics

Metrics development

Python

SQL

Outils

Spark

Hadoop

MapReduce

Description du poste

Avride is seeking a data scientist to define and evaluate metrics for autonomous vehicle systems. You will analyze real-world and simulated driving data, designing quantitative measures of driving behavior, safety, and passenger comfort.

You will work with cross-functional teams, apply statistical methods, and build scalable pipelines to automate metric computation and reporting. A background in Python/SQL and 2+ years in data science is required.