Note: The job is a remote job and is open to candidates in USA. CharterUP is transforming the group transportation and mobility market with an AI-native platform for charter, shuttle, and autonomous vehicle operations. The Staff Data Scientist will build the company’s data science capability, establish a rigorous understanding of pricing and marketplace dynamics, improve data foundations, and expand into experimentation and production machine learning.
Responsibilities
- Lead driver analysis and data quality work to establish the foundation for machine learning model development
- Establish the principles, infrastructure, and systems for data science, ensuring a scalable foundation that supports long-term growth
- Drive improvements in data pipelines, modeling, and governance to ensure reliable, high-quality data for decision-making
- Collaborate closely with executives and cross-functional teams to translate complex data into clear insights, metrics, and recommendations that influence business direction
- Promote best practices in experimentation, statistical rigor, and data storytelling, while mentoring peers and setting the stage for a future team
- 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
Skills
- 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
- Technical Expertise: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building reliable, high-quality datasets for analytics and machine learning
- Business Acumen: Demonstrated ability to translate complex data into actionable insights that influence strategy, improve decision-making, and drive measurable business outcomes
- Cross-Functional Collaboration: Excellent communication and partnership skills, with the ability to influence technical and non-technical stakeholders and collaborate effectively across Product, Engineering, and business teams
- Navigating Ambiguity: Comfortable working with incomplete, messy, or unstructured data, bringing structure to ambiguous problems and delivering practical, data-driven solutions
- Location: Remote, US
- CharterUP U.S.-based candidates and employees must reside in one of the following states: Arizona, Colorado, Florida, Georgia, Hawaii, Mississippi, Missouri, North Carolina, New Hampshire, Nevada, New York, Oklahoma, South Dakota, Tennessee, Texas, Utah, Washington, and Wyoming
- 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. Hands-on experience designing, deploying, and maintaining production ML models is a plus, as is familiarity with AI/ML, LLMs, and NLP
Benefits
- Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states.
- Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards.
- U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country.
- Company-paid life, short-term, and long-term disability insurance where available.
- Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together.
- Referral Rewards: Earn bonuses for bringing top talent to the team.
- Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable.
- Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.
Company Overview