Senior Data Scientist
May MobilityAnn Arbor, Michigan, United States
Posted October 14, 2025
2000 - 4000 USD year
Full Time
About the Company
May Mobility is dedicated to enhancing transit by developing advanced autonomous vehicle technology. They offer shared, on-demand ride services across multiple locations in the U.S. and Japan, focusing on sustainability, safety, accessibility, and equity. The company's key value proposition lies in its commitment to real-world solutions that improve transportation for all.
Job Description
May Mobility is transforming cities through autonomous technology, focused on creating a safer, greener, and more accessible world. They are seeking a Data Scientist to build scalable processes, apply advanced analytical techniques, and drive strategic decision-making by translating autonomous vehicle data into actionable insights. The role involves developing KPIs, implementing real-time monitoring solutions, and building predictive models.
Requirements
- B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or related quantitative field
- 5+ years of hands-on experience as a Data Scientist, Data Analyst, or similar role with a focus on business intelligence and performance measurement.
- Proficiency in Python and SQL
- Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch, and PySpark/Apache Spark
- Experience implementing and analyzing KPIs for large-scale complex systems
- Excellent technical communication skills
Benefits
- Comprehensive healthcare suite including medical, dental, vision, life, and disability plans
- Health Savings and Flexible Spending Healthcare and Dependent Care Accounts
- Rich retirement benefits
- Flexible vacation policy
- Total Wellness Program
- Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway!
