Austin AV Metrics & Evaluation Scientist (Hybrid)

NGV Talent; Austin (TX); Hybrid; USD 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Healthcare benefits

Pre-tax commuter benefits

FSA

Disability and life insurance

401(k) plan

Generous PTO

Lunch program

Zusammenfassung

NGV Talent is seeking an experienced Data Scientist to define and evaluate autonomous vehicle performance metrics using real-world and simulated driving data in Austin. The role focuses on statistical validation and scalable pipelines to support data-informed improvements across engineering teams.

The candidate will develop rule-based and ML-driven metrics for driving behavior, safety, and passenger comfort, and communicate results to stakeholders. Onsite/hybrid work is available in Austin, TX.

Qualifikationen

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

Aufgaben

• 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.

Kenntnisse

Python

SQL

Statistics

A/B testing

Confidence intervals

Regression

Communication

Tools

Spark

Hadoop

MapReduce

Jobbeschreibung

NGV Talent is seeking an experienced Data Scientist to define and evaluate autonomous vehicle performance metrics using real-world and simulated driving data in Austin. The role focuses on statistical validation and scalable pipelines to support data-informed improvements across engineering teams.

The candidate will develop rule-based and ML-driven metrics for driving behavior, safety, and passenger comfort, and communicate results to stakeholders. Onsite/hybrid work is available in Austin, TX.