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 300,000 autonomy-enabled 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. Senior Data Scientist 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.
Requirements
- 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.
- Experience implementing and analyzing KPIs for large scale complex systems, including trend monitoring and anomaly detection using ML.
- Proficiency in Python and SQL.
Responsibilities
- 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.
Other
- 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.
- Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch.
- Expertise in PySpark/Apache Spark for handling large-scale data processing.
- Background in robotics or autonomous systems.
