Manager, Data Science - Modeling Support

Marriott Hotels Resorts•Bethesda, MD

14h

About The Position

Applies advanced computational techniques in the development of business solutions to data-intensive problems in the hospitality industry. This rewarding position offers a career as part of a team that makes a direct revenue impact on Marriott International, 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 Data Science team seeks a flexible candidate with a willingness to learn who brings unique perspectives to enable creative data-driven solutions to the challenges at Marriott.

Requirements

Bachelor’s degree in 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 communication skills and ability to work within a team
Knowledge of relational databases

Nice To Haves

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

Responsibilities

Provides ongoing support for models in One Yield, Marriott’s Revenue Management system, to ensure accurate forecast, pricing, and inventory results.
Support the ongoing deployment of The Power of M and partner with service providers to triage and resolve conversion related issues around models.
Support L3 team with triage of incidents and tickets.
Solution, validate, and manage model updates based on defects and support production deployments.
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