Staff Data Scientist

About the Role

CharterUP is seeking a Staff Data Scientist to advance our data science capabilities within a growing marketplace team. You’ll be a hands-on technical leader, designing and deploying machine learning models in production with an immediate focus on pricing and availability optimization that directly shapes customer experience and marketplace efficiency. Over time, you’ll expand into experimentation, model automation and optimization, while helping strengthen the systems, standards, and practices that enable data science to scale across the organization. This role combines deep individual technical ownership with the opportunity to meaningfully influence how data informs decision-making across CharterUP’s platform and operations.

What You’ll Do

• Hands-On Model Development: Design, implement, and maintain production ML models with an immediate focus on pricing and availability, expanding into forecasting, automation, and optimization.
• 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)

• Translate pricing and availability insights into scalable systems: Work with Engineering to embed elasticity models, demand forecasts, and operator availability logic into the core platform so they directly influence quotes.