Manager, Data & Insights

May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking an experienced Manager of Data Science to lead the team responsible for developing insights from autonomous vehicle data.

In this role, you will build and guide a high-performing team of engineers as they create scalable methods to make our AV data searchable and actionable. You will define the roadmap for data observability, enabling faster issue triage, robust test set creation, and high-quality dataset curation. Join us to lead the strategy that powers our autonomy improvements and shapes critical business decisions.

• →Manage a team of data scientists to define and extract key autonomous vehicle performance metrics to validate software readiness.
• →Build and maintain self-serviced platforms that allow teams to query key metrics and drill-down on massive datasets.
• →Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.
• →Collaborate with engineering leaders and cross-functional teams to translate complex statistical findings and insights into concrete action items. 

Success in this role typically requires the following competencies:

• Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
• Deep understanding of vehicle kinematics and ability to develop.
• Mastery of data visualization tools to visualize complex data in a way that non-experts can interpret. 
• 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.
• Minimum of 5+ years of industry experience leading or deploying data analysis systems in robotics or autonomous vehicles.
• Minimum of 2+ years of specific development experience with Python, large-scale data processing, and metric design.
• Demonstrated ability to identify regressions and patterns in high-dimensional or time-series sensor data.
• Exceptional verbal and written communication skills for cross-team collaborations
• Strong experiences and motivation to work in fast pace startup environments with creative and critical thinking capabilities.
• Strong confidence and comfort to prioritize tasks, projects and requests with good project management understanding.

• Demonstrated successful people management experience and mentoring experience to support team member growth.
• Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.
• Experience designing metric-driven development for Autonomous vehicles, and automated triaging pipelines.