Autonomous Vehicle Metrics and Evaluation Data Scientist
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-10-30
Listing for:
NGV Talent
Full Time
position Listed on 2026-10-30
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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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