Senior Data Scientist for Autonomous Systems Evaluation

Motional; Las Vegas (NV); Hybrid; USD 149,000 - 198,500; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Health savings accounts

Life insurance

Pet insurance

Job summary

Motional is seeking a Senior Data Scientist in Las Vegas with 5+ years of experience to lead evaluation and testing methodologies for the autonomy stack. You will develop metrics, analyze large on-road and simulation datasets, and partner with engineering teams to monitor the health of the evaluation ecosystem.

You will collaborate across Safety, Systems Engineering, and operations to ensure robust evaluation signals and insightful, actionable results that inform launch readiness and business

Qualifications

• Bachelor's or higher in a quantitative field with strong analytic foundations.
• 5+ years of industry experience solving complex problems with large datasets.
• Proficient in Python and SQL with data analysis libraries.
• Experience applying advanced statistical and ML methods to large data sets.

Responsibilities

• Lead development of evaluation frameworks for autonomous systems and data-driven performance measurement.
• Collaborate with Safety and Systems Engineering to map metrics to automotive standards.
• Ensure metrics are reliable to inform safety cases and launch readiness.
• Monitor metric drift and data quality over time to maintain trust in results.
• Develop new statistical methods for analysis of AV performance data.
• Mentor engineers and promote data-driven decision making across teams.

Skills

Python

SQL

Statistical analysis

Machine Learning

Data analysis

Communication

Education

Bachelor's degree in CS/CE/DS/Robotics/Physics/Math or related

Master's or PhD preferred

Tools

AWS

Data pipelines

Job description

Motional is seeking a Senior Data Scientist in Las Vegas with 5+ years of experience to lead evaluation and testing methodologies for the autonomy stack. You will develop metrics, analyze large on-road and simulation datasets, and partner with engineering teams to monitor the health of the evaluation ecosystem.

You will collaborate across Safety, Systems Engineering, and operations to ensure robust evaluation signals and insightful, actionable results that inform launch readiness and business