Staff Data Scientist

Posted Yesterday
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Austin, TX, USA
In-Office
220K-250K Annually
Senior level
Events • Greentech • Logistics • Software • Transportation • Travel
Marketplace & AI enabled SAAS for group transit
The Role
Lead design and production deployment of ML models focused on pricing, availability, forecasting, and optimization. Build data infrastructure, governance, testing/monitoring, and dashboards. Partner with executives and cross-functional teams, mentor others, and establish scalable data-science practices and experimentation frameworks.
Summary Generated by Built In

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 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.

Title: Staff Data Scientist

Reports to: Chief Product Officer

Location: This position is based in Austin, TX (Hybrid: Monday, Wednesday, Friday in-office).

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 and surfaced options.
  • Build production-ready pricing and matching levers: Design and implement dynamic rules or models that optimize both customer price acceptance and operator match rates, ensuring supply is surfaced efficiently and profitably.
  • Establish robust testing and monitoring: Put in place frameworks for controlled experiments on both pricing and supply-matching, with clear KPIs that balance margin, conversion, and operator acceptance.
  • Accelerate decision-making with transparency: Ensure pricing and availability strategies are explainable and measurable, with dashboards that make outcomes visible across Product, Sales, Finance, and Ops.
  • Lay the foundation for scale: Develop processes and systems that allow pricing and operator matching to scale beyond one-off analysis, creating a repeatable, trusted capability within the organization.

What You’ll Bring

  • 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 in high-growth or startup environments.
  • Machine Learning & Statistical Expertise: Hands-on experience designing, deploying, and maintaining ML models in production, including pricing, demand forecasting, and availability optimization, paired with deep skills in AI/ML, LLMs, NLP, statistical modeling, experimental design, and advanced analysis.
    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.
  • Strategic and Business Alignment: Demonstrated ability to align data science initiatives with business goals, translating complex data into clear strategies and actionable insights that drive growth and operational efficiency.
  • Collaboration and Communication: Excellent communicator and partner across technical and non-technical teams, with proven ability to influence at the executive level, mentor peers and junior talent, and champion a data-first culture across the organization.

Recruiting Process

  • Step 1 - Video call: Talent Acquisition interview
  • Step 2 - Video call: Hiring Manager interview
  • Step 3 - Video call: Team interviews (x2)
  • Step 4 - Video call: Case Study & Panel Presentation
  • Step 5 - Offer & reference check
  • Welcome aboard!
Salary
$220,000$250,000 USD
Global Benefits & Perks at CharterUP

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, California, 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
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The Company
HQ: Austin, Texas
358 Employees
Year Founded: 2018

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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