Data Scientist 3

Choice Hotels International

North Bethesda (MD)

Hybrid

USD 115,000 - 135,000

Full time

34 hours ago

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Benefits offered by this job

Medical, dental, and vision coverage

Paid time off and holidays

Retirement benefits

Employee recognition programs

Hotel discounts

Job summary

Choice Hotels International is seeking a Data Scientist 3, Applied AI, to advance predictive analytics and AI capabilities across Marketing, Loyalty, Global Sales, Finance, Franchise Development, eCommerce, and Brands.

You will lead enterprise modeling initiatives, develop geospatial analyses, and collaborate with IT and Data Delivery to support real-time ML and generative AI on an AWS-based analytics platform. Strong Python/SQL and ML background required.

Qualifications

5+ years of analytical experience with predictive modeling, regression, segmentation, clustering, and time series analysis.
Hands-on experience building with large language models (LLMs).

Responsibilities

Lead modeling initiatives driving enterprise decisions with statistical models and AI.
Deliver timely ad hoc analyses and product presentations, including geospatial analyses.
Collaborate with IT and Data Delivery to enhance infrastructure for real-time, ML, and generative AI.
Deploy solutions using AWS services such as Redshift, Athena, S3, SageMaker AI, Bedrock, and AgentCore.
Research cutting-edge methodologies and upskill the team, including AI-assisted development tools like Claude Code.

Skills

ML modeling

Python

SQL

Geospatial analytics

LLMs

Prompt engineering

AWS tooling

Data visualization

Education

Master’s Degree in Data Science or quantitative field

Tools

Python

SQL

Git

AWS (Redshift, Athena, S3, SageMaker, Bedrock)

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 performs analysis day to day.

QUALIFICATIONS

Employment Experience

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.

Choice prioritizes our associate wellbeing by offering a comprehensive benefits program that is both competitive and flexible to help you achieve your wellbeing goals - here are just a few:

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

About Choice

Choice Hotels International, Inc. (NYSE: CHH), is one of the largest lodging franchisors in the world. With 7,500 hotels in 45+ countries and territories, we offer a range of high‑quality lodging options in the upper upscale, upper midscale, midscale, extended stay, and economy segments. We’re the hotel company for those who choose to bet on themselves — the striver, the dreamer, the entrepreneur — because that’s who we are, too.

At Choice, we are united by the simple belief that tomorrow will be even better than today — for associates, our company, and our franchisees. At our worldwide corporate headquarters in North Bethesda, Maryland, at our technology center in Scottsdale, Arizona, and through our associates around the globe, every voice is heard and every idea is listened to, no matter what area of the company they come from. We are united in supporting the entrepreneurial dreams of our thousands of franchise owners, which propels us forward — giving our work at Choice a purpose larger than our business.

Our corporate office locations

North Bethesda, MD

— Located at Pike & Rose, our worldwide headquarters is less than 15 miles from Washington, D.C., one block away from the North Bethesda Metro station, with easy access to I‑495, complimentary parking, electronic charging stations, restaurants and retail.

Scottsdale, AZ

— Located at the northwest corner of Loop 101, the Scottsdale office is home to our technology, eCommerce and customer service organizations, with easy access to complimentary parking, electronic charging stations, restaurants and retail.

Minneapolis, MN

— Select roles are based in our Minneapolis office on Highway 394, near the intersection with Highway 100, only five minutes from downtown.

Field/Remote

— Select roles designated as field/remote will require associates to work from a home office, connecting virtually with Choice team members and leadership on Zoom, with possible required travel depending on the role.

Choice’s Cultural Values

Choice’s Leadership Principles

Act with Intention | Lead with Authenticity | Grow & Deliver

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