Data Scientist, RM Agentic Systems and Pricing 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 hiring a Data Scientist for the Revenue Management Agentic Systems and Pricing Analytics team. This hybrid role focuses on building agentic AI frameworks and predictive analytics to support pricing, demand forecasting, elasticity measurement, causal inference, and executive decision support that improve revenue performance KPIs.

Responsibilities

• Design, develop, test, and roll out agentic AI frameworks to support Revenue Management and pricing workflows, including agents for pricing diagnostics, demand signals, competitive insights, and recommendation support.
• Build and maintain data pipelines, feature stores, model-ready datasets, and analytical tools using SQL, Python, and approved enterprise data sources.
• Implement responsible AI patterns for agent orchestration, evaluation, monitoring, prompt and version control, guardrails, token throttling, and hierarchical model routing.
• Prototype, deploy, and scale agents using AI platforms including Claude, CoWork, Copilot, and OpenAI in partnership with Technology, Product, and Analytics teams.
• Create system health and model performance KPIs for AI-enabled RM solutions, including adoption, latency, accuracy, quality, cost efficiency, and business impact.
• Develop and validate predictive demand forecasting models for short-term and long-term revenue management planning at the brand, market, and hotel/property level.
• Estimate price elasticity and demand sensitivity, booking pace, segmentation behavior, and competitive response to inform pricing strategy and rate recommendations.
• Apply causal inference, experiment design, A/B testing, uplift measurement, and statistical validation to evaluate pricing, promotional, and RM initiatives.
• Analyze historical and forward-looking data to identify patterns, trends, and revenue opportunities that improve RevPAR, RPI, ADR, and occupancy.
• Translate model outputs into clear recommendations, visualizations, and executive-ready insights for Revenue Management and Pricing stakeholders.
• Perform competitive analysis using internal and external market signals to guide pricing strategy at the brand, market, and hotel/property level.
• Identify opportunities to improve RevPAR, RPI, ADR, occupancy, price position, and revenue capture through scalable pricing analytics and RM decision support.
• Partner with Revenue Management, Pricing, Brand, Product, Operations, and Technology teams to prioritize use cases based on business value, feasibility, and adoption impact.
• Develop business cases, analytical readouts, implementation plans, and stakeholder materials supporting commercial decisions and RM transformation initiatives.
• Manage intake of analytical and AI-agent requests, define success metrics, and support deployment, training, change management, and post‑launch measurement.

Requirements

• 2+ years of professional experience using structured and unstructured data to perform statistical analysis, build predictive models, and provide business insights.
• Hands‑on experience developing predictive demand forecasting, price elasticity, dynamic pricing, causal inference, experimentation, and machine learning models.
• Demonstrated experience building, deploying, or operationalizing AI agents or agentic workflows using Claude, CoWork, Copilot, OpenAI, or comparable enterprise AI platforms.
• Experience with token throttling, hierarchical model routing, model evaluation, prompt and version management, guardrails, monitoring, and responsible AI practices for production or business‑facing agents.
• High proficiency in Python, SQL, and/or R, including experience with supervised and unsupervised learning methods, statistical modeling, feature engineering, validation, and testing.
• Experience with ML frameworks or libraries such as TensorFlow, PyTorch, Keras, Scikit‑Learn, LangChain, LlamaIndex, or Semantic Kernel is a plus.
• Professional experience creating data visualizations and executive‑ready analytics using Tableau, Power BI, Excel, Matplotlib, or Seaborn.
• Proficiency in Microsoft Excel and PowerPoint, with familiarity with Microsoft Copilot and M365 productivity workflows preferred.
• Strong strategic and critical thinking skills, with the ability to derive conclusions from data and translate insights into RM and pricing recommendations.
• Ability to decompose Revenue Management and Pricing questions into analytical, AI‑agent, and model‑development use cases with clear success metrics.
• Strong communication, storytelling, teamwork, collaboration, organization, and stakeholder management skills.
• Strong interpersonal skills and the ability to build trust across departments and disciplines.
• Knowledge of pricing, revenue management, hotel revenue strategy, RevPAR, RPI, ADR, occupancy, segmentation, and distribution principles is strongly preferred.
• Bachelor’s degree in a related quantitative field, or an equivalent combination of education and relevant work experience.
• A master’s degree in a related quantitative field is preferred.

Technologies

• AI, Data science, Revenue management
• SQL, Python, R
• Claude, CoWork, Copilot, OpenAI
• TensorFlow, PyTorch, Keras, Scikit‑Learn
• LangChain, LlamaIndex, Semantic Kernel
• Tableau, Power BI, Excel
• Matplotlib, Seaborn
• Microsoft PowerPoint, Microsoft Copilot, M365

Compensation & Salary Range

The salary range for this position is $114,907 - $135,000 per year.

Work Location & Hybrid Schedule

• This position is based at Choice Hotels International’s corporate headquarters in North Bethesda, Maryland.
• Hybrid schedule: Monday through Thursday in the office, with remote work on Fridays.

Relocation & Sponsorship

• Relocation assistance is not available.
• Choice Hotels is not able to provide employment visa sponsorship now or in the future for this role.

Benefits

• Competitive compensation and benefits, including medical, dental, and vision coverage
• Leave and paid time‑off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance
• Financial benefits for retirement and health savings
• Employee recognition programs
• Discounts at Choice hotels worldwide
• Annual bonus under Choice’s Management Incentive Plan (MIP)