FLEX Senior Manager, Operations Research Scientist

Marriott•Bethesda, MD

19h•Hybrid

About The Position

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. Works as part of a team supporting revenue-impacting data analysis and modeling applications, provides pricing and statistical modeling and technical expertise; 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 subject matter expert in all phases of the project lifecycle – inception, prototyping, design, testing, rollout and support. The Operations Research 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.

Requirements

Graduate degree in a rigorous quantitative, technical or scientific subject, including Operations Research, Statistics, Mathematics, Data Science, Data Engineering, Computer Science or Engineering. Bachelors’ degree + 5 years’ experience in the field can be substituted for the advanced degree requirement
2+ years’ industry or research experience; applying analytical and programming skills with data-intensive, complex modeling or systems development problems. Experience designing or supporting analytical systems, focusing on model quality and code efficiency
Software engineering skills (e.g. distributed computing, object-oriented development, data cleansing, algorithms, and data structures) with 2+ years development experience
Knowledge and experience coding with Python (pandas / Numpy / SciPy), Java or C/C++, SQL at an advanced level with an understanding of complexity theory
An inherent curiosity in researching and developing solutions to complex and often open-ended business problems
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 Haves

Experience performing predictive modeling, forecasting, or statistical analysis on large scale datasets.
Experience with Big Data platforms (i.e. Hadoop)
Experience with Machine learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.)
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).
Readiness to debug existing codes to identify source of reported application issues

Responsibilities

Trains and/or mentors other team members, and peers as appropriate
Provides leadership 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