Staff Data Scientist

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.

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.

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.

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 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.

Qualifications

• Proven experience in developing and deploying machine learning models in production environments.
• Experience in data infrastructure and pipeline development.
• Strong understanding of statistical modeling and experimental design.
• Ability to work collaboratively with cross-functional teams.
• Experience in mentoring and leading a team of data scientists.

Skills

• Advanced proficiency in Python/R for large-scale analysis.
• Experience with SQL in big data environments.
• Knowledge of machine learning algorithms and techniques.
• Experience with data modeling and pipeline development.
• Strong communication and collaboration skills.

Benefits

We offer a comprehensive benefits package including:

• Flexible Work Model: Remote-first with occasional in-office presence based on team and business needs.
• Comprehensive Health & Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits.
• Time Off to Recharge: Paid time off with increasing to 20 days after 2 years and 8 paid holidays.
• Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available.
• Performance-Driven Culture: Fast-moving, ambitious, and collaborative team that wins together.
• Referral Rewards: Bonuses for bringing top talent to the team.
• Planning for the Future: Long-term financial planning support.
• Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.

Pay

$220,000 - $250,000 USD

Schedule

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