<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><strong>Lead Data Scientist</strong></p><p>As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders.</p><h1><span style="font-size:12pt;"><strong>Essential Responsibilities</strong></span></h1><ul><li>Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets</li><li>Apply mathematical and statistical techniques for spatial and temporal data </li><li>Develop and implement advanced predictive models </li><li>Build data visualization, dashboards, and reports for internal and external customers</li><li>Write and optimize efficient, maintainable code, collaborating with cross-functional teams</li></ul><h1><span style="font-size:12pt;"><strong>Skills and Abilities</strong></span></h1><ul><li>Strong analytical skills with the ability to manipulate and analyze large datasets</li><li>Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders</li><li>Strong problem-solving skills with a focus on validation and accuracy of results</li><li>Proficiency in programming languages such as Python and frameworks like PySpark</li><li>Ability to work independently and as part of a team</li><li>Ability to mentor team members and contribute to culture of continuous learning and improvement</li><li>Experience in developing and optimizing data pipelines and ensuring data quality</li></ul><h1><span style="font-size:12pt;"><strong>Qualifications and Experience</strong></span></h1><p><strong><em>Required</em></strong></p><ul><li>B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field</li><li>7+ years of experience in data science</li><li>2+ Experience with programming languages such as Python and frameworks such as Pyspark</li><li>Experience working with large and complex datasets</li><li>Experience working with databases, such as Postgres, MySQL, SQL Server</li><li>Track record of writing optimized, scalable code</li></ul><p><strong><em>Desirable</em></strong></p><ul><li>Background in robotics or related field and understanding of temporal and spatial data concepts</li></ul><h1><span style="font-size:10pt;"><strong>Physical Requirements</strong></span></h1><ul><li>Standard office working conditions which includes but is not limited to:</li><ul><li>Prolonged sitting</li><li>Prolonged standing</li><li>Prolonged computer use</li><li>Lift up to 50 pounds</li></ul></ul><ul><li>Remote role based out of Ann Arbor, MI.<ul><li><strong>Remote employees</strong> work primarily from home or an alternative work space.</li></ul></li><li>Travel requirements - 0%</li></ul><p>The salary range provided is based on a position located in the state of Michigan.  Our salary ranges can vary across different locations in the United States.</p><div><div><div>Salary Range</div><div><span>$167,000</span><span>—</span><span>$190,000 USD</span></div></div></div><div><div><div><div><div><div><div><p><span style="font-size:12pt;"><strong>Benefits and Perks</strong></span></p><ul><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">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. </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Rich retirement benefits, including an immediately vested employer safe harbor match.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Generous paid parental leave as well as a phased return to work. </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Flexible vacation policy in addition to paid company holidays.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-size:12pt;"><span style="font-weight:400;">Total Wellness Program providing numerous resources for overall wellbeing  </span> </span></li></ul></div><div><span style="font-size:12pt;">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.</span></div></div></div></div></div></div><p><span style="font-size:12pt;"><em><span style="font-weight:400;">Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</span></em></span></p><p><span style="font-size:12pt;"><em><span style="font-weight:400;">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.</span></em></span></p><p><span style="font-size:12pt;"><strong><em>Note to Recruitment Agencies:</em></strong><em><span style="font-weight:400;"> 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.</span></em></span></p><p><br><br></p></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>

Lead Data Scientist

<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><strong>Lead Data Scientist</strong></p><p>As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders.</p><h1><span><strong>Essential Responsibilities</strong></span></h1><ul><li>Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets</li><li>Apply mathematical and statistical techniques for spatial and temporal data&nbsp;</li><li>Develop and implement advanced predictive models&nbsp;</li><li>Build data visualization, dashboards, and reports for internal and external customers</li><li>Write and optimize efficient, maintainable code, collaborating with cross-functional teams</li></ul><h1><span><strong>Skills and Abilities</strong></span></h1><ul><li>Strong analytical skills with the ability to manipulate and analyze large datasets</li><li>Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders</li><li>Strong problem-solving skills with a focus on validation and accuracy of results</li><li>Proficiency in programming languages such as Python and frameworks like PySpark</li><li>Ability to work independently and as part of a team</li><li>Ability to mentor team members and contribute to culture of continuous learning and improvement</li><li>Experience in developing and optimizing data pipelines and ensuring data quality</li></ul><h1><span><strong>Qualifications and Experience</strong></span></h1><p><strong><em>Required</em></strong></p><ul><li>B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field</li><li>7+ years of experience in data science</li><li>2+ Experience with programming languages such as Python and frameworks such as Pyspark</li><li>Experience working with large and complex datasets</li><li>Experience working with databases, such as Postgres, MySQL, SQL Server</li><li>Track record of writing optimized, scalable code</li></ul><p><strong><em>Desirable</em></strong></p><ul><li>Background in robotics or related field and understanding of temporal and spatial data concepts</li></ul><h1><span><strong>Physical Requirements</strong></span></h1><ul><li>Standard office working conditions which includes but is not limited to:</li><ul><li>Prolonged sitting</li><li>Prolonged standing</li><li>Prolonged computer use</li><li>Lift up to 50 pounds</li></ul></ul><ul><li>Remote role based out of Ann Arbor, MI.<ul><li><strong>Remote employees</strong> work primarily from home or an alternative work space.</li></ul></li><li>Travel requirements - 0%</li></ul><p>The salary range provided is based on a position located in the state of Michigan.&nbsp; Our salary ranges can vary across different locations in the United States.</p><div><div><div>Salary Range</div><div><span>$167,000</span><span>—</span><span>$190,000 USD</span></div></div></div><div><div><div><div><div><div><div><p><span><strong>Benefits and Perks</strong></span></p><ul><li><span>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;</span></li><li><span>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</span></li><li><span>Rich retirement benefits, including an immediately vested employer safe harbor match.</span></li><li><span>Generous paid parental leave as well as a phased return to work.&nbsp;</span></li><li><span>Flexible vacation policy in addition to paid company holidays.</span></li><li><span><span>Total Wellness Program providing numerous resources for overall wellbeing&nbsp; </span>&nbsp;</span></li></ul></div><div><span>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.</span></div></div></div></div></div></div><p><span><em><span>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</span></em></span></p><p><span><em><span>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.</span></em></span></p><p><span><strong><em>Note to Recruitment Agencies:</em></strong><em><span> 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.</span></em></span></p><p><br><br></p></div>

Lead Data Scientist

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May Mobility

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