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Manager, Data Science - Pricing Models

https://www.marriott.com Logo

Marriott Bonvoy

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Location:
United States , Bethesda

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

72000.00 - 120200.00 USD / Year
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Job Description:

Applies advanced computational techniques in the development of business solutions to data-intensive problems in the hospitality industry. This rewarding position provides a career as part of a team that makes a direct revenue impact on Marriott hotels, globally, by providing tools that facilitate data-driven decision making in the disciplines of pricing, revenue management, sales and reservations.

Job Responsibility:

  • Provides input on solution structure, tasks, timeline and estimates for revenue management deliverables
  • Partners with planning teams to articulate possible solutions to business problems and to develop requirements for new models
  • Formulates methods for measuring the effectiveness of pricing and revenue management activities.
  • Prepares detailed specifications for translation of complex business processes into models and prototypes
  • Develops and implements efficient, scalable algorithms using appropriate technologies/software/architectures
  • Writes software and utility software tools to create and test new models
  • Assists the Application Delivery teams in support of operations
  • Assists the Application Delivery team in the maintenance of existing models
  • Provides work/cost estimates for client requests
  • Prepares documentation for client review.
  • Conducts reviews, discusses findings, risks and challenges and establishes courses of action
  • Follows all defined iT standards and processes and provides input for improvements to the appropriate process owners as needed
  • Maintains a proper balance between business and operational risk
  • Follows the defined project management standards and processes
  • Validates that Service Providers develop and manage respective aspects of a project plan, including schedules, deliverables, and appropriate metrics.
  • Makes short term plans for the team to effectively utilize resources
  • Monitors Service Provider outcomes
  • Reviews estimates of work effort for client project provided by Service Providers for accuracy
  • Facilitates timely resolution of service delivery problems and minimizes the impact to clients

Requirements:

  • Bachelor’s degree in a rigorous quantitative, technical or scientific subject, including Operations Research, Statistics, Mathematics, Data Science, Data Engineering, Computer Science or Engineering
  • Experience solving complex mathematical problems
  • applying analytical and programming skills against data-intensive and complex modeling
  • Software engineering skills (e.g. distributed computing, object-oriented development, data cleansing, algorithms and data structures)
  • An inherent curiosity in researching and developing solutions to complex and often open-ended business problems
  • An interest in continually learning new techniques and technologies to solve modeling challenges
  • An ability to explain and present mathematical concepts and results to technical and non-technical audiences
  • Strong communications skills and ability to work within a team
  • Knowledge of relational databases

Nice to have:

  • Knowledge and experience with Python (pandas / Numpy / SciPy), SQL at an advanced level with an understanding of complexity theory
  • Knowledge of Stochastic process, and probability theory
  • Knowledge of Experiment design and causal inference methods such as difference‑in‑differences, matching, regression‑based causal models, and uplift or incremental impact analysis.
  • Experience with Econometric modeling and related techniques including linear and nonlinear regression, panel data models, fixed and random effects models, instrumental variables
  • Experience with Machine Learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.)
  • Experience with Data Platforms (i.e. Snowflake)
  • Experience in developing analytic driven solutions to business problems
  • Understands complex, discrete data sets with subtle underlying biases
  • Experience with linear, mixed integer, non-linear or dynamic programming models and familiarity with optimization software (CPLEX, Gurobi).
  • Experience with writing efficient code and an understanding of code complexity
  • Readiness and willingness to debug existing codes to identify source of reported application issues
What we offer:
  • 401(k) plan
  • stock purchase plan
  • discounts at Marriott properties
  • commuter benefits
  • employee assistance plan
  • childcare discounts
  • coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave and educational assistance
  • paid sick leave
  • PTO
  • holidays

Additional Information:

Job Posted:
March 22, 2026

Expiration:
April 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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