Senior Data Scientist

Responsibilities

• Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data
• Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors
• Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps
• Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows
• Communicate insights and recommendations to engineering leaders and cross-functional teams

Requirements

• B.S, M.S. or Ph.D. in Engineering, Data Science, Computer Science, Math, or a related quantitative field
• 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems
• 2+ years working in AV, ADAS, robotics, or another safety-critical domain
• Experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems
• Hands-on experience with real-world driving logs and/or simulation data
• Proficiency in Python, SQL, Pandas, NumPy, and Spark
• Understanding of vehicle dynamics, kinematics, and agent interactions

Preferred Qualifications

• Background in motion planning, behavior prediction, or multi-agent interaction modeling
• Experience designing metric-driven development, KPIs, and automated triaging pipelines

Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability
• Health Savings and Flexible Spending Accounts
• Retirement benefits with employer safe harbor match
• Generous paid parental leave and phased return to work
• Flexible vacation policy and paid company holidays
• Total Wellness Program

About the Company

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by innovative Multi-Policy Decision Making (MPDM) technology.