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Data Scientist, RM Agentic Systems and Pricing Analytics

Choice Hotels North Bethesda, MD

North Bethesda, MD

Today

$115k - $135k/yr Full time Agentic Ai Ai Agent Ai Platform

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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)

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