Choice Hotels

Data Scientist 3

North Bethesda, MD, US$114,907-$135,000Posted 15 days ago

Job Description

JOB SUMMARY

Choice Hotels, one of the world’s largest lodging franchisors, has an opportunity for a Data Scientist 3, Applied AI, on the Data Science team. You will play an integral role in developing predictive analytics and applied AI capabilities in support of key corporate initiatives. Our cross-functional team of data scientists and engineers develops and deploys statistical models, machine learning algorithms, and AI solutions that drive business decisions and interactions with our customers.

The team partners with leaders across the enterprise to deliver end-to-end data science solutions for Marketing, Loyalty, Global Sales, Finance, Franchise Development, eCommerce, and Brands. Examples include customer lifetime value, hotel performance forecasting, site selection, and generative AI applications. In addition to building models, the Data Scientist will contribute to upskilling the team, provide guidance on data sources for ingestion to improve modeling effectiveness, and collaborate with the Data Delivery and IT teams to ensure Choice’s AWS analytics platform can meet future state needs for machine learning, generative AI, and predictive analytics.

RESPONSIBILITIES

  • Lead modeling initiatives that drive enterprise decisions, working with stakeholders to solve strategic and operational needs with statistical models and AI.
  • Deliver timely ad hoc analyses and product presentations, including geospatial analyses, that communicate insights to stakeholders.
  • Work with IT and the Data Delivery teams to enhance infrastructure needed to support real-time, machine learning, and generative AI modeling capabilities
  • Deploy solutions using AWS services such as Redshift, Athena, S3, SageMaker AI, Bedrock, and AgentCore.
  • Research cutting-edge methodologies and contribute to upskilling the overall team’s capabilities, including the use of AI-assisted development tools such as Claude Code, which are core to how the team prototypes, codes, and

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