Manager, Data Science - Pricing Models

Marriott • Bethesda, MD

16h • 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 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.

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 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 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 devlop 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

Benefits

• All positions offer a 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts.
• Full-time positions also offer 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.
• Employees will accrue paid sick leave, 0.077 PTO balance for every hour worked and be eligible to receive a minimum of 9 holidays annually.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level