Data Scientist: Agentic Pricing & Revenue Analytics

Choice Hotels; North Bethesda (MD); Hybrid; USD 115,000 - 135,000; Full time

Benefits offered by this job

Discounts at Choice hotels worldwide

Annual bonus under MIP

Medical, dental, and vision coverage

Professional development opportunities

Job summary

Choice Hotels is seeking a Data Scientist for the Revenue Management Agentic Systems and Pricing Analytics team. The hybrid role focuses on building agentic AI frameworks, predictive analytics, and executive-ready insights to improve RevPAR, ADR, occupancy, and revenue KPIs.

Your work includes designing AI agents, data pipelines, and evaluative frameworks, plus partnering with multiple teams to drive RM transformation and pricing strategy.

Qualifications

• 2+ years of professional experience with statistical analysis and predictive modeling.
• Experience building predictive demand forecasting, elasticity, and pricing models.
• Experience deploying AI agents or agentic workflows on enterprise platforms.
• Proficiency in Python, SQL, and/or R with ML experience.
• Experience with data visualization tools and executive-ready analytics.
• Strong communication and stakeholder management skills.

Responsibilities

• Design, develop, test, and roll out agentic AI frameworks for revenue management and pricing workflows.
• Build data pipelines, feature stores, and model-ready datasets using SQL and Python.
• Implement responsible AI patterns for orchestration, monitoring, and guardrails.
• Prototype and scale agents using Claude, CoWork, Copilot, and OpenAI in collaboration with teams.
• Create system health and model performance KPIs for AI-enabled RM solutions.
• Develop predictive demand forecasting models at brand, market, and property levels.
• Estimate price elasticity and demand sensitivity to inform pricing strategy.
• Apply causal inference, A/B testing, and uplift measurement for RM initiatives.
• Analyze data to identify revenue opportunities improving RevPAR, ADR, occupancy.
• Translate outputs into actionable insights for RM stakeholders.
• Conduct competitive analysis to guide pricing strategy.

Skills

Python

SQL

R

Tableau/Power BI

Excel

Data visualization

Communication

AI/ML concepts

Education

Bachelor’s degree in a related quantitative field

Master’s degree preferred

Tools

Claude

CoWork

Copilot

OpenAI

TensorFlow

PyTorch

Job description

Choice Hotels is seeking a Data Scientist for the Revenue Management Agentic Systems and Pricing Analytics team. The hybrid role focuses on building agentic AI frameworks, predictive analytics, and executive-ready insights to improve RevPAR, ADR, occupancy, and revenue KPIs.

Your work includes designing AI agents, data pipelines, and evaluative frameworks, plus partnering with multiple teams to drive RM transformation and pricing strategy.