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Autonomous Vehicle Metrics and Evaluation Data Scientist

Job in Austin, Travis County, Texas, 78716, USA
Listing for: NGV Talent
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Job Title: Autonomous Vehicle Metrics and Evaluation Data Scientist

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 Map Reduce.
  • 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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