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Senior Data Scientist

Remote, USA

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.

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.

Skills

Success in this role typically requires the following competencies:

  • 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.

Qualifications and Experience

Required

  • 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.

Desired

  • 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.

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
  • 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   
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! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

Salary Range

$1 - $2 USD

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