Pay
In line with similar jobs
$115K–$135K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist 3
North Bethesda MD - Corporate Headquarters
Live, first seen by us 69 days ago- Pay
$114,907–135,000/yearAnnual period assumed — pay source
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:
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead modeling initiatives with statistical models and AI for enterprise decisions
Deliver ad hoc analyses and presentations, including geospatial analyses
Research new methods and upskill the team, including AI-assisted coding tools
From the employer’s posting
Lead modeling initiatives that drive enterprise decisions
Deliver timely ad hoc analyses and product presentations
Research cutting-edge methodologies and contribute to upskilling the overall team’s capabilities
What you’ll bring
All qualificationsCore 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
- 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
- Ability to evaluate business trends and develop successful solutions that enhance business performance
- Master’s Degree in Data Science, Economics, Mathematics, Statistics, Operations Research or other quantitative field
- Hands-on experience building with large language models (LLMs)
- Familiarity with LLMs, prompt engineering, retrieval-augmented generation (RAG), and agentic workflows
Preferred experience
- 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
Qualification wording
5+ years of analytical experience, with a background in predictive modeling and statistical techniques such as regression, segmentation and clustering, and time series analysis
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
Ability to evaluate business trends and develop successful solutions that enhance business performance
Master’s Degree in Data Science, Economics, Mathematics, Statistics, Operations Research or other quantitative field
Hands-on experience building with large language models (LLMs)
Familiarity with LLMs, prompt engineering, retrieval-augmented generation (RAG), and agentic workflows
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
Education & alternatives
Education Requirements - Master’s Degree in Data Science, Economics, Mathematics, Statistics, Operations Research or other quantitative field COMPENSATION & SALARY RANGE:
About Choice Hotels
(NYSE: CHH), is one of the largest lodging franchisors in the world.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202669 days ago
- Recorded sightings
- 72
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 69
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
Choice Hotels is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- AWS
- Excel
- Redshift
- S3
- SageMaker
Where the posting names them
- 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
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:
- 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.
- 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
- 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
Your next step
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
Welcome and Respect Everyone | Be Bold | Be Quick | Listen | Be Curious | Show Integrity
Choice’s Leadership Principles
Act with Intention | Lead with Authenticity | Grow & Deliver
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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:
- Location & working pattern
North Bethesda MD - Corporate Headquarters
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:
More source context
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.