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.
- 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.
- 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.
- Detail-oriented with a focus on validation, testing, and error detection.
- B.S, M.S. or Ph.D. Degree 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 involving vehicle behavior analysis.
- Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems.
- Hands-on experience working with real-world driving logs and/or simulation data.
- Background in motion planning, behavior prediction, or multi-agent interaction modeling.
- Experience designing metric-driven development, KPIs, and automated triaging pipelines.