CharterUP is seeking to transform the $30 billion group transportation industry with cutting-edge technology and innovative SaaS software, and is looking for a Staff Data Scientist to launch and build their data science capabilities to optimize pricing and availability, and shape the customer and operator experience.
Requirements
- Proven Data Science Leadership: 8+ years of experience in data science with a track record of building and scaling data-driven functions, leading cross-functional teams, and delivering high-impact projects
- Machine Learning & Statistical Expertise: Hands-on experience designing, deploying, and maintaining ML models in production, including pricing, demand forecasting, and availability optimization
- Data Infrastructure & Technical Depth: Advanced proficiency with SQL in big data environments, Python/R for large-scale analysis, and strong background in data modeling, pipeline development, and ensuring data quality and governance
- AI/ML, LLMs, NLP, statistical modeling, experimental design, and advanced analysis
- Python/R for large-scale analysis
- SQL in big data environments
- Data modeling, pipeline development, and ensuring data quality and governance
Responsibilities
- 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.
- 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
- Build production-ready pricing and matching levers: Design and implement dynamic rules or models that optimize both customer price acceptance and operator match rates
Other
- 8+ years of experience in data science
- Proven ability to align data science initiatives with business goals
- Excellent communicator and partner across technical and non-technical teams
- Ability to influence at the executive level, mentor peers and junior talent, and champion a data-first culture
- Must reside in one of the approved states in the US
