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. Hands-on experience designing, deploying, and maintaining production ML models is a plus, as is familiarity with AI/ML, LLMs, and NLP.
- 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.
Recruiting Process
- Step 1 - Video call: Talent Acquisition interview
- Step 2 - Video call: Hiring Manager interview
- Step 3 - Video call: Team interviews (x3)
- Step 4 - Video call: Case Study & Panel Presentation
- Step 5 - Offer & reference check
- Welcome aboard!
We believe great people can live anywhere—and they deserve great benefits, too. While offerings may vary slightly by location, we prioritize hiring near our hubs in Austin, Atlanta, Miami, and Denver as we grow our global team.
- 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.
- Comprehensive Health & Wellness: 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.
- Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country.
- Financial Peace of Mind: 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.
- Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable.
- Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.
CharterUP is an Equal Opportunity Employer. We are committed to creating an inclusive, accessible, and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, ancestry, disability, medical condition, marital status, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws in the United States and Canada. If you require accommodation during the recruitment process, please let us know. CharterUP is committed to providing reasonable accommodations during the hiring process. If you need assistance or an accommodation, please contact your recruiter.
Hiring Locations: 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.
We hire in the U.S. and Canada and are actively expanding our global footprint.
Skills Required
- 8+ years of experience in data science with a track record of building and scaling data-driven functions
- Hands-on experience designing, deploying, and maintaining production ML models, including pricing, demand forecasting, and availability optimization
- Experience with AI/ML methods, LLMs, NLP, statistical modeling, and experimental design
- Advanced proficiency with SQL in big data environments
- Proficiency in Python or R for large-scale analysis
- Strong background in data modeling, pipeline development, data quality, and governance
- Demonstrated ability to align data initiatives with business goals and influence executive stakeholders
- Excellent collaboration, communication, and mentoring skills
- Experience delivering high-impact projects in high-growth or startup environments
What We Do
CharterUP is the world’s largest bus‑booking platform—an AI‑powered marketplace and operating system for group transit. We let organizations book vehicles in minutes with instant pricing, real‑time availability, and transparent operator selection across a vetted network of 500+ operators and 6,000+ vehicles in all 50 states and Canada. Customers manage trips end‑to‑end with Rider and Driver apps for live tracking, seat reservations, passenger management, and automated updates, and can license a white‑label solution to run ongoing shuttle programs under their own brand. From daily employee shuttles and campus routes to major events, construction logistics, and emergency response, CharterUP pairs nationwide scale with modern software to make complex transportation simple, reliable, and auditable.
Why Work With Us
CharterUP is the world’s largest bus‑booking platform - an AI‑powered, self‑serve marketplace and OS for group transit - uniting 500+ operators and 6,000+ vehicles across the U.S. & Canada. We move fast, give you ownership of outsized problems, and deliver. Help modernize an under‑innovated industry, win big with results, and grow at startup speed.
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