Data Scientist 3
Choice Hotels · North Bethesda MD - Corporate Headquarters ·
- Work mode
- Hybrid
- Category
- Data science
- Company size
- 1000+
- Salary
- USD 114,907 – 135,000 / year
Choice Hotels · North Bethesda MD - Corporate Headquarters ·
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Build and deploy predictive analytics and machine learning models supporting Marketing, Loyalty, Sales, and Finance at Choice Hotels, using Python/R, SQL, and AWS/SageMaker in a hybrid role based in North Bethesda.
JOB SUMMARY:
As a Data Scientist 3, you will help advance predictive analytics capabilities that support strategic business initiatives across the enterprise. You will partner with business leaders, engineers, analysts, and technology teams to develop and deploy machine learning and statistical models that improve decision-making across functions including Marketing, Loyalty, Sales, Finance, Brands, and Franchise Development. This role combines hands-on advanced analytics work with technical leadership, mentoring, and continuous improvement of the organization's data science capabilities. You will also help shape future-state analytics infrastructure and identify new data sources that improve model performance and business outcomes.
RESPONSIBILITIES:
Design, develop, validate, and deploy predictive models and machine learning solutions that drive business insights and strategic decision making across the enterprise.
Partner with stakeholders to solve complex business challenges through advanced analytics, forecasting, segmentation, propensity modeling, optimization, and fraud detection solutions.
Lead moderately complex projects and analytics initiatives with department-level impact while exercising independent judgment and providing recommendations that influence business decisions.
Evaluate emerging analytical methodologies, technologies, and industry trends and introduce best practices that enhance organizational data science maturity.
Mentor and guide junior data scientists and analysts by sharing technical expertise, coaching on analytical approaches, and supporting professional development.
Collaborate with Data Delivery, Architecture, and IT teams to enhance cloud-based analytics infrastructure and machine learning deployment capabilities.
Assess and recommend internal, third-party, and open-source data sources that improve predictive model performance and business value.
Communicate analytical findings and recommendations to technical and non-technical audiences through presentations, reports, and business discussions.
Employment Experience
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field or equivalent combination of education and work experience.
Master's degree in a quantitative discipline preferred or equivalent combination of education and work experience.
5-8 years of experience in data science, advanced analytics, machine learning, statistics, or a related analytical field.
Experience building predictive models using techniques such as segmentation, clustering, time series analysis, linear and generalized linear models, and other statistical methodologies.
Experience partnering with cross-functional stakeholders to deliver enterprise-scale analytical solutions.
Technical Skills
Advanced proficiency in Python and/or R.
Strong SQL skills and experience working with large-scale datasets.
Experience with machine learning frameworks and predictive modeling techniques including decision trees and neural networks.
Knowledge of cloud-based analytics environments, preferably AWS and Amazon SageMaker.
Experience with geospatial analytics tools such as ArcGIS or GeoPandas is preferred.
Additional Skills & Competencies
Strong analytical and problem-solving skills.
Intellectual curiosity and commitment to continuous learning.
Ability to work independently while managing multiple priorities.
Strong communication and presentation skills for technical and business audiences.
Results-oriented mindset with the ability to perform effectively in dynamic environments.
Education Requirements
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative discipline or equivalent combination of education and work experience.
Master's degree preferred or equivalent combination of education and work experience.
Relevant industry certifications in data science, machine learning, cloud analytics, or related disciplines are preferred.
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:
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
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