<div><p><span style="font-weight:400;font-size:12pt;">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. </span></p><p><span style="font-size:12pt;"><span style="font-weight:400;">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.</span><span style="font-weight:400;"> </span><span style="font-weight:400;">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.</span></span></p></div><p>May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking an experienced Manager of Data Science to lead the team responsible for developing insights from autonomous vehicle data.</p><p>In this role, you will build and guide a high-performing team of engineers as they create scalable methods to make our AV data searchable and actionable. You will define the roadmap for data observability, enabling faster issue triage, robust test set creation, and high-quality dataset curation. Join us to lead the strategy that powers our autonomy improvements and shapes critical business decisions<strong>.</strong></p><p><strong>Responsibilities</strong></p><ul><li>Manage a team of data scientists to define and extract key autonomous vehicle performance metrics to validate software readiness.</li><li>Build and maintain self-serviced platforms that allow teams to query key metrics and drill-down on massive datasets.</li><li>Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.</li><li>Collaborate with engineering leaders and cross-functional teams to translate complex statistical findings and insights into concrete action items. </li></ul><p><strong>Skills</strong></p><p><em>Success in this role typically requires the following competencies:</em></p><ul><li>Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).</li><li>Deep understanding of vehicle kinematics and ability to develop.</li><li>Mastery of data visualization tools to visualize complex data in a way that non-experts can interpret. </li><li>Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.</li><li>Detail-oriented with a focus on validation, testing, and error detection.</li></ul><p><strong>Qualifications and Experience</strong></p><p><strong>Required</strong></p><ul><li>B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.</li><li>Minimum of 5+ years of industry experience leading or deploying data analysis systems in robotics or autonomous vehicles.</li><li>Minimum of 2+ years of specific development experience with Python, large-scale data processing, and metric design.</li><li>Demonstrated ability to identify regressions and patterns in high-dimensional or time-series sensor data.</li><li>Exceptional verbal and written communication skills for cross-team collaborations</li><li>Strong experiences and motivation to work in fast pace startup environments with creative and critical thinking capabilities.</li><li>Strong confidence and comfort to prioritize tasks, projects and requests with good project management understanding.</li></ul><p><strong>Desired</strong></p><ul><li>Demonstrated successful people management experience and mentoring experience to support team member growth.</li><li>Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.</li><li>Experience designing metric-driven development for Autonomous vehicles, and automated triaging pipelines.</li></ul><hr><div><div><div><div><div><div><p><strong>Benefits and Perks</strong></p><ul><li>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. </li><li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li><li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li><li>Generous paid parental leave as well as a phased return to work. </li><li>Flexible vacation policy in addition to paid company holidays.</li><li>Total Wellness Program providing numerous resources for overall wellbeing   </li></ul></div><div>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.</div></div></div></div></div></div><p><em>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</em></p><p><em>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.</em></p><p><strong><em>Note to Recruitment Agencies:</em></strong><em> 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.</em></p><div><div><div>Salary Range</div><div><span>$172,000</span><span>—</span><span>$263,000 USD</span></div></div></div>

<p>May Mobility is developing autonomous electric vehicles from the chassis up with a focus on system-level safety design. This focus will allow us to be the first to launch a fully driverless autonomous vehicle. The company plans to lead the industry with its system design approach and best in class user experience. Founded in 2017, the company is headquartered in Ann Arbor, Michigan, United States.</p>

Manager, Data & Insights

<div><p><span>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.&nbsp;</span></p><p><span><span>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.</span><span> </span><span>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.</span></span></p></div><p>May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking an experienced Manager of Data Science to lead the team responsible for developing insights from autonomous vehicle data.</p><p>In this role, you will build and guide a high-performing team of engineers as they create scalable methods to make our AV data searchable and actionable. You will define the roadmap for data observability, enabling faster issue triage, robust test set creation, and high-quality dataset curation. Join us to lead the strategy that powers our autonomy improvements and shapes critical business decisions<strong>.</strong></p><p><strong>Responsibilities</strong></p><ul><li>Manage a team of data scientists to define and extract key autonomous vehicle performance metrics to validate software readiness.</li><li>Build and maintain self-serviced platforms that allow teams to query key metrics and drill-down on massive datasets.</li><li>Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.</li><li>Collaborate with engineering leaders and cross-functional teams to translate complex statistical findings and insights into concrete action items.&nbsp;</li></ul><p><strong>Skills</strong></p><p><em>Success in this role typically requires the following competencies:</em></p><ul><li>Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).</li><li>Deep understanding of vehicle kinematics and ability to develop.</li><li>Mastery of data visualization tools to visualize complex data in a way that non-experts can interpret.&nbsp;</li><li>Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.</li><li>Detail-oriented with a focus on validation, testing, and error detection.</li></ul><p><strong>Qualifications and Experience</strong></p><p><strong>Required</strong></p><ul><li>B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.</li><li>Minimum of 5+ years of industry experience leading or deploying data analysis systems in robotics or autonomous vehicles.</li><li>Minimum of 2+ years of specific development experience with Python, large-scale data processing, and metric design.</li><li>Demonstrated ability to identify regressions and patterns in high-dimensional or time-series sensor data.</li><li>Exceptional verbal and written communication skills for cross-team collaborations</li><li>Strong experiences and motivation to work in fast pace startup environments with creative and critical thinking capabilities.</li><li>Strong confidence and comfort to prioritize tasks, projects and requests with good project management understanding.</li></ul><p><strong>Desired</strong></p><ul><li>Demonstrated successful people management experience and mentoring experience to support team member growth.</li><li>Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.</li><li>Experience designing metric-driven development for Autonomous vehicles, and automated triaging pipelines.</li></ul><hr><div><div><div><div><div><div><p><strong>Benefits and Perks</strong></p><ul><li>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.&nbsp;</li><li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li><li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li><li>Generous paid parental leave as well as a phased return to work.&nbsp;</li><li>Flexible vacation policy in addition to paid company holidays.</li><li>Total Wellness Program providing numerous resources for overall wellbeing&nbsp;&nbsp;&nbsp;</li></ul></div><div>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.</div></div></div></div></div></div><p><em>Want to learn more about our culture &amp; benefits? Check out our&nbsp;<a href="https://maymobility.com/careers/">website</a>!</em></p><p><em>May Mobility is an equal opportunity employer.&nbsp; 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. &nbsp; 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.&nbsp; 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.</em></p><p><strong><em>Note to Recruitment Agencies:</em></strong><em>&nbsp;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.</em></p><div><div><div>Salary Range</div><div><span>$172,000</span><span>—</span><span>$263,000 USD</span></div></div></div>

Manager, Data & Insights

About the Job

About the Company

May Mobility

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