Staff Data Scientist
CharterUP · Remote, US
- Senior
- Full-time
- $220,000 – $250,000
- Posted 2026-06-15
- Confirmed live on 25 September 2026
Job description
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)
• Unlock data-backed strategies to propel the company into our next phase of hypergrowth.
• Illuminate the core drivers of business performance across our core domains including pricing, availability, customer segmentation, matching, and trip execution risk.
• Deploy production ML models and experimentation frameworks to drive automated execution in the same core domains.
• Lead a team of Senior Data Scientists while shaping the company's core data roadmap
• Establish shared metrics and data definitions that other data functions across the company (Finance, Revenue) can also adopt.
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, familiarity with AI/ML, LLMs, and NLP is a plus.
• 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 c
Prepare for the interview
Nothing collected for this employer yet. The Blind 75 is what technical screens draw from; practise it here, with a coach, in Java or Python.
More at CharterUP
- Recruiter · Austin, TX
- Customer Support Coordinator · Remote, US
- Operations Coordinator · Remote, US
- Senior Application Security Engineer · Austin, Texas
- Senior Data Engineer (Brazil) · Brazil
- Senior Software Engineer - Full Stack (Brazil) · Brazil
- Senior Sales Recruiter · Austin, TX
- People Business Partner · Austin, TX