Data Scientist
Remote, USA
Full Time Mid-level / Intermediate USD 98K - 152K
May Mobility
We’re making transit more sustainable, safe, accessible and equitable by building autonomous vehicle technology that works in the real world.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.
Data Scientist
As a Data Scientist focusing on Analytics & Insights, you'll play a vital role in transforming raw data into actionable insights that drive key business decisions. You'll work closely with various teams to uncover trends, identify anomalies, develop and maintain critical Key Performance Indicators (KPIs), and support data-driven operations. This is a hands-on role where your technical abilities will directly contribute to business understanding.
Responsibilities
- Clean, process, and organize diverse datasets to ensure data quality and readiness for analysis.
- Design, build, and maintain KPI dashboards to monitor essential business and operational metrics.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies, communicating your findings clearly to stakeholders.
- Perform root cause analysis for detected irregularities within data pipelines and metric performance.
- Develop and standardize reusable analytical templates and processes to streamline repeated analyses.
- Champion data best practices, ensuring rigor and consistency in how data is utilized and shared across the organization.
Skills and Abilities
- Strong analytical skills with a foundational understanding of statistical concepts and their application to data analysis.
- Proficiency in SQL for querying and manipulating large datasets.
- Solid experience with Python for data cleaning, transformation, and analysis.
- Hands-on experience with data visualization tools to create impactful dashboards and reports.
- Ability to effectively identify patterns, detect anomalies, and derive actionable insights from data.
- Excellent communication skills, capable of translating complex analytical findings into clear, concise narratives for non-technical audiences.
- Proactive problem-solver with an eagerness to learn and adapt in dynamic environments.
- Ability to collaborate effectively in cross-functional teams.
Qualifications and Experience
Required
- 1-3 years of experience in data analytics, business intelligence, or a data-focused role.
- Demonstrated proficiency in SQL and Python for data manipulation and analysis.
- Experience in building and maintaining data dashboards using commercial or open-source visualization tools.
- Foundational understanding of statistics and practical experience in identifying data trends and anomalies.
- Proven ability to work cross-functionally and effectively translate business requirements into analytical deliverables.
Desirable
- Familiarity with geospatial data or time-series data concepts.
- Experience in supporting operations or logistics-related decision-making processes.
- Exposure to basic machine learning concepts or predictive modeling.
- Comfort working in ambiguous problem spaces and making data-informed decisions even with imperfect information.
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
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.
Tags: ANN Business Intelligence Data analysis Data Analytics Data pipelines Data quality Data visualization EDA KPIs Machine Learning Open Source Pipelines Predictive modeling Python SQL Statistics
Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave
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