May Mobility-posted 2 months ago
$1 - $2/Yr
Full-time • Senior
251-500 employees

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.

  • 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.
  • 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.
  • 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.
  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing.
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