• 5+ years of analytical experience, with a background in predictive modeling and statistical techniques such as regression, segmentation and clustering, and time series analysis 

• Hands-on experience building with large language models (LLMs)

​ 

Technical Skills 

• Experience with Machine Learning approaches and techniques such as decision trees, gradient boosted models, and neural networks, including standard data preparation and model evaluation practices 

• Familiarity with LLMs, prompt engineering, retrieval-augmented generation (RAG), and agentic workflows 

• Comfort with (or strong enthusiasm to adopt) AI-assisted development tools such as Claude Code; agentic coding workflows are a major part of our day-to-day work 

• Working knowledge of Python/R and SQL, along with Git version control and code review practices 

• Familiarity with the ML and AI model development lifecycle from prototyping through deployment and monitoring in production 

• Comfortable with lightweight data engineering, data quality monitoring, data profiling, and preparing datasets 

• Knowledge of AWS services such as Redshift, Athena, S3, Lambda, SageMaker AI, Bedrock, and AgentCore; AWS certification is a plus 

• Experience with geospatial analytics and tools (e.g., ArcGIS, GeoPandas, PostGIS) is a plus 

• Proficiency in Microsoft Outlook, Excel, PowerPoint and Word 

Additional Skills & Competencies 

• Must be an energized self-starter who can work independently and who drives for results 

• Ability to evaluate business trends and develop successful solutions that enhance business performance 

• Effectively partner with business stakeholders to ensure integrated and timely insights to the enterprise 

• Has strong intellectual curiosity and is an active learner, able to enhance personal, professional, and business growth through new knowledge and experiences. 

• Results oriented; delivers results under difficult conditions and demonstrates balanced judgment under pressure 

• Writes clean, clear, and well-documented code that others can read, maintain, and build on 

• Good communication skills, including oral (one on one and presentations to large audiences) and written 

Education Requirements 

• Master’s Degree in Data Science, Economics, Mathematics, Statistics, Operations Research or other quantitative field 

COMPENSATION & SALARY RANGE:

The salary range for this position is $114,907-135,000. Pay ranges listed are what Choice Hotels reasonably expects to pay. Actual pay may be higher or lower and ranges may be adjusted in the future. Pay positioning within the range is influenced by factors including—but not limited to—education, experience, skills, certifications, performance, geographic location, business needs, seniority, and travel requirements.

LOCATION & WORK SCHEDULE:

This role is based at our corporate headquarters in North Bethesda, Maryland, and follows a hybrid work schedule, requiring regular in-office collaboration alongside remote work flexibility.