Staff Data Scientist

About CharterUP. CharterUP is transforming the $450+ billion group transportation and mobility market with an AI native platform that powers modern charter, shuttle, and emerging autonomous vehicle operations. Trusted by many Fortune 500 companies, CharterUP connects enterprises, institutions, and event organizers to thousands of bus operators nationwide, while increasingly serving as the operating system for large scale shuttle and transit programs across airports, campuses, industrial sites, and major events. Through real time availability, transparent pricing, intelligent routing, and AI driven dispatch and optimization, CharterUP replaces a fragmented and opaque industry with automation, accountability, and scale. Why Join Us Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change. Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there’s no better time to join our dynamic, growth-stage organization. Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX. Funding and Stability: Our $60 million Series A funding was just the start—we’re poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability. About the Role CharterUP is seeking a Staff Data Scientist to build our data science capability from the ground up. Your first mandate is to develop a rigorous, ground-truth understanding of our pricing and marketplace dynamics, partnering closely with Engineering on the data foundation needed to support this work. As that foundation matures, you'll expand into experimentation, model development, and production ML, while helping build the systems and standards that let data science scale across the company. Title: Staff Data Scientist Reports to: Chief Product Officer Location: Remote, US What You’ll Do Hands-On Model Development: Lead driver analysis and data quality work to establish the foundation for machine learning model development. Build and Shape the Function: Establish the principles, infrastructure, and systems for data science, ensuring a scalable foundation that supports long-term growth. Data Infrastructure & Quality: Drive improvements in data pipelines, modeling, and governance to ensure reliable, high-quality data for decision-making. Strategic Partnering: Collaborate closely with executives and cross-functional teams to translate complex data into clear insights, metrics, and recommendations that influence business direction. Champion a Data-First Culture: Promote best practices in experimentation, statistical rigor, and data storytelling, while mentoring peers and setting the stage for a future team. Key Initial Objectives (6-12 months) Establish a rigorous analytical baseline on pricing and marketplace economics, in partnership with the Pricing and Availability teams. Partner with our new data engineer and the team leading our Snowflake migration to define what "ready" data looks like, and help prioritize that work. Establish shared metrics and data definitions that other data functions across the company (Finance, Revenue) can also adopt. Deliver findings that directly inform our pricing roadmap and CEO-visible pricing initiatives. Lay groundwork for future experimentation and ML, without committing to production timelines this year. What You’ll Bring Data Science Leadership: 8+ years of experience in data science with a track record of leading high-impact initiatives and influencing cross-functional teams in high-growth or startup environments. Machine Learning & Statistical Expertise: Experience applying machine learning, statistical modeling, and experimentation to solve complex business problems, ideally in pricing, forecasting, optimization, or marketplace environments.…