Senior Data Scientist, May Mobility
Self-driving shuttle and mobility services
Open for applications
Self-driving shuttle and mobility services
201-500 employees
Open for applications
201-500 employees
Company mission
To transform cities through autonomous technology to create a safer, greener, more accessible world.
Role
Who you are
- Ability to manage the entire analytics lifecycle, from initial problem definition and data preparation to final actionable recommendations
- Advanced proficiency in designing and implementing high-impact, real-time performance dashboards
- Strong foundation in Machine Learning, including the ability to design, validate, and interpret predictive models aligned with specific business objectives
- 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 hands-on experience as a Data Scientist, Data Analyst, or a similar role with a heavy focus on business intelligence and performance measurement
- Experience implementing and analyzing KPIs for large scale complex systems, including trend monitoring and anomaly detection using ML
- Proficiency in Python and SQL
- Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch
- Expertise in PySpark/Apache Spark for handling large-scale data processing
Desirable
- Background in robotics or autonomous systems
- Demonstrated ability to generate insights and drive business decisions
- Experience using LLMs for data analytics
- Familiarity with big data technologies (Spark, Hadoop, Kafka) and cloud platforms (AWS, GCP, Azure) to engineer and deliver scalable, production-ready analytics solutions
- Familiarity with data engineering principles, including building and maintaining robust data pipelines
What the job involves
- May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking a talented data scientist who will be instrumental in translating autonomous vehicle data into clear, actionable insights by building scalable processes and applying sophisticated analytical techniques.
- Your work will range from developing KPIs to using advanced machine learning models to generating predictive insights and driving strategic decision-making
- Design, implement, and monitor robust Key Performance Indicators (KPIs) and address performance anomalies
- Develop dynamic, real-time monitoring solutions and interactive dashboards to track key metrics and automate data quality checks, significantly reducing manual reporting overhead
- Apply advanced analytical techniques, including specialized Machine Learning and Natural Language Processing (NLP), to conduct deep-dive analyses and uncover the root causes of trend shifts
- Translate complex model outputs and findings into clear, actionable narratives and presentations
Our take
As automobile companies across the globe make advancements in the booming autonomous vehicle market, May Mobility’s microtransit services bridge transportation gaps by providing safe, accessible, and free autonomous public transport.
The company currently operates low-speed (35mph) public transport AVs. It has been testing its fleet of 20 vehicles (mostly in Ann Arbor) and is set to launch S-AMs in Grand Rapids in Fall 2022 and internationally, beginning in Japan, within the next year.
The company has raised an impressive amount of capital as of late 2023, as it aims to expand its commercial efforts and technological advancement capabilities across the US, Japan and Canada and move towards profitability. Through strategic partnerships and by increasing the total number of vehicle deployments in the U.S. and Japan, May Mobility is well placed to be one of the top driverless transportation market leaders.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Apr 2025
$7m
LATE VC
Nov 2023
$105m
SERIES D
Total funding: $392.6m
Company benefits
- Onsite, Hybrid, and Remote Work Options
Company HQ
Pittsfield Charter Township, MI
Leadership
Edwin Olson
(CEO)Current Professor of Electrical Engineering and Computer Science at the University of Michigan. Former Co-Director of Autonomous Driving Development at Toyota Research Institute.
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