Data Scientist

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 our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical. The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human-centered autonomous driving systems.

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.

Skills

Success in this role typically requires the following competencies:

• Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
• Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.
• Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems.
• Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.