Data Scientist (AI, Revenue Management)

Location: Hybrid at hirify.global's corporate headquarters in North Bethesda, Maryland; office attendance Monday through Thursday and remote work on Fridays. Relocation assistance is not available.

Salary: $114,907–$135,000 annually, plus eligibility for an annual bonus under the Management Incentive Plan.

Company

hirify.global is a global lodging franchisor with 7,500 hotels across more than 45 countries and territories.

What you will do

• Design, develop, test, deploy, and monitor agentic AI frameworks supporting revenue management and pricing workflows, including pricing diagnostics, demand signals, competitive insights, and recommendation support.
• Build and maintain data pipelines, feature stores, model-ready datasets, predictive models, and analytical tools using approved enterprise data sources, Python, SQL, and related technologies.
• Develop demand forecasting, price elasticity, dynamic pricing, causal inference, experimentation, and machine learning solutions at the brand, market, and hotel/property levels.
• Apply responsible AI practices including agent orchestration, evaluation, monitoring, prompt and version control, guardrails, token throttling, and hierarchical model routing.
• Analyze competitive and historical data to identify opportunities to improve RevPAR, RPI, ADR, occupancy, price position, and revenue capture.
• Partner with Revenue Management, Pricing, Brand, Product, Operations, Analytics, and Technology teams to define use cases, success metrics, business cases, implementation plans, training, change management, and post-launch measurement.

Requirements

• At least 2 years of professional experience using structured and unstructured data for statistical analysis, predictive modeling, and business insights.
• Hands-on experience developing predictive demand forecasting, price elasticity, dynamic pricing, causal inference, experimentation, and machine learning models.
• Experience building, deploying, or operationalizing AI agents or agentic workflows with 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 supervised and unsupervised learning, statistical modeling, feature engineering, validation, and testing.
• Professional experience creating data visualizations and executive-ready analytics using Tableau, Power BI, Excel, Matplotlib, or Seaborn.
• Proficiency in Microsoft Excel, PowerPoint, and business intelligence tools.
• Strong strategic and critical thinking, communication, storytelling, teamwork, collaboration, organization, stakeholder management, and interpersonal skills.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field, or an equivalent combination of education and relevant work experience.

Nice to have

• Experience with TensorFlow, PyTorch, Keras, Scikit-Learn, LangChain, LlamaIndex, or Semantic Kernel.
• Familiarity with Microsoft Copilot and M365 productivity workflows.
• Knowledge of pricing, revenue management, hotel revenue strategy, RevPAR, RPI, ADR, occupancy, segmentation, and distribution principles.
• Master’s degree in a related quantitative field.

Culture & Benefits

• Hybrid work schedule with remote work on Fridays.
• Medical, dental, and vision coverage.
• Paid leave and time off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance.
• Retirement and health savings benefits, employee recognition programs, and discounts at Choice hotels worldwide.
• Values include welcoming and respecting everyone, being bold, moving quickly, listening, curiosity, and integrity.