Manager, Data Science - Pricing Models
Marriott International HQApplies 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. Works as part of a team that supports computationally-intensive data analysis and modeling efforts, provides pricing and statistical modeling and technical expertise; provides production support for systems deployed at our hotels; performs undirected research on large volumes of data to reach business conclusions and recommendations; contributes complex programming and analysis in revenue management and sales systems; analyzes data and builds innovative models to deliver business solutions; functions as a modeling expert in all phases of the project lifecycle – inception, prototyping, design, testing, rollout and support. The Predictive Analytics team seeks a flexible candidate with a willingness to learn that brings unique perspectives to enable creative data-driven solutions to the challenges at Marriott.
CANDIDATE PROFILE
Education and Experience
Required:
- 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
Preferred:
- 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
CORE WORK ACTIVITIES
Delivering Technology
- 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
IT Governance
- 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
Service Provider Management
To the extent that this role interacts with service providers:
- 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
MANAGEMENT COMPETENCIES
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| Building Relationships |
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| Generating Talent and Organizational Capability |
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| Learning and Applying Professional Expertise |
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At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.
Marriott International is the world’s largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.