Job Title: Autonomous Vehicle Metrics and Evaluation Data Scientist

Austin, Texas
IDj-2289
Job TypeDirect Hire
Remote TypeHybrid
Compensation$120000 - $170000 / yr

Job Title: Autonomous Vehicle Metrics and Evaluation Data Scientist - Analytics
Location: Austin, TX
Salary Range: $120,000 - $170,000 Per Year
Job Type: Direct Hire

Sponsorship: Yes, Company provides visa sponsorship

Job Overview

A leading autonomous mobility company seeks a skilled Data Scientist to define and evaluate autonomous vehicle performance metrics. You will analyze real-world and simulated driving data to assess safety, behavior, and passenger comfort, collaborating with engineering teams to drive data-informed improvements. This onsite/hybrid role advances self-driving technology commercialization through rigorous statistical validation and scalable pipelines.

Key Responsibilities

  • 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 metric sensitivity and reliability.

  • 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.

Requirements

  • 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, such as A/B testing, confidence intervals, and regression.

  • Experience designing metrics to evaluate complex systems, like robotics, autonomous systems, or large-scale software.

  • Ability to communicate technical findings to cross-functional stakeholders.

Preferred Qualifications

  • Experience with machine learning, such as model evaluation and feature engineering.

  • Familiarity with big data tools like Spark, Hadoop, or MapReduce.

  • Knowledge of traffic regulations or automotive safety standards, such as NHTSA.

Benefits

  • Employer-subsidized healthcare (medical, dental, vision)

  • Pre-tax commuter benefits

  • Flexible Spending Account (FSA)

  • Employer-covered disability and life insurance

  • 401(k) retirement plan

  • Generous PTO

  • Covered lunches and more

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