Senior Data Scientist

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

As a Senior Data Scientist, you will be instrumental in extracting critical insights from complex datasets, particularly focusing on temporal and geospatial features. You will develop sophisticated models to enable automation for data-driven decision-making and collaborate closely with engineering teams to translate complex data challenges into actionable solutions. The ideal candidate will possess deep expertise in advanced statistical and machine learning techniques, with a proven ability to work with unstructured and high-dimensional data, and effectively communicate findings to both technical and non-technical stakeholders.

Responsibilities

• Design, build, and implement advanced statistical and machine learning models to extract meaningful temporal features from sequential data.
• Develop and apply sophisticated techniques to derive and utilize geospatial features.
• Implement algorithms for auto-tagging, classification, and clustering of similar data points using a combination of temporal, geospatial, and other relevant features.
• Analyze, validate, and optimize models to ensure high accuracy and performance in real-world scenarios.
• Collaborate with engineering teams to integrate models into production systems and ensure scalability.
• Visualize and communicate complex data insights, model performance, and analytical findings to cross-functional teams and stakeholders.
• Write clean, efficient, and maintainable code, adhering to best practices for data science development.

Skills

• Exceptional analytical skills with a proven ability to manipulate, analyze, and extract insights from large, complex, and high-dimensional datasets.
• Deep expertise in temporal feature extraction techniques from time-series data
• Strong understanding and practical experience with geospatial data analysis, feature engineering, and spatial reasoning.
• Proficiency in designing and implementing algorithms for classification, clustering, and feature selection.
• Expertise in machine learning algorithms, including deep learning architectures relevant to sequential and spatial data.
• Strong programming skills in Python with extensive experience in data science libraries.
• Experience with big data frameworks such as PySpark for distributed data processing.
• Excellent problem-solving skills with a meticulous focus on model validation, robustness, and accuracy.
• Ability to work independently, manage multiple priorities, and thrive in a fast-paced, collaborative environment.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.

Qualifications and Experience

Required

• B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, Statistics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist with a strong focus on advanced analytics and machine learning.
• Demonstrated experience in extracting and leveraging temporal and geospatial features from large, complex datasets, including sensor and video data.
• Proven track record of developing and deploying models for classification, clustering, and/or auto-tagging in production environments.
• Extensive experience with programming languages such as Python and big data frameworks like PySpark.
• Experience working with large and complex datasets from various sources (e.g., databases, object storage).
• Track record of writing optimized, scalable, and well-documented code.

Desirable

• Background in robotics, autonomous systems, or computer vision, with an understanding of perception systems and their data outputs.
• Experience with cloud platforms such as AWS or GCP, including services relevant to data storage, processing, and machine learning.
• Familiarity with data engineering principles, including building and maintaining robust data pipelines.

Salary Range$131,000—$220,000 USD

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.