Senior Manager Data Science Pricing Models

Marriott • Bethesda, MD

3d • $110,400 - $195,000 • Hybrid

About The Position

Applies advanced computational techniques to develop business solutions for data-intensive hospitality problems. As part of Marriott’s Predictive Analytics team, this role supports tools that enable data-driven decisions in pricing, revenue management, sales, and reservations, with a direct impact on hotel revenue globally. The position provides pricing, statistical modeling, and technical expertise; supports computationally intensive analysis and production systems deployed at hotels; researches large datasets to develop business conclusions and recommendations; and contributes complex programming and analysis to revenue management and sales systems.

The role analyzes data and builds innovative models, serving as a modeling expert throughout the project lifecycle, from inception and prototyping through design, testing, rollout, and support. It also leads technical initiatives and team development, collaborates with business, product, engineering, and planning stakeholders, and contributes to requirements, estimates, documentation, operational support, and model maintenance.

Requirements

• Bachelor’s degree in a rigorous quantitative, technical, or scientific subject, such as Operations Research, Statistics, Mathematics, Economics, or Data Science.
• At least 5 years of hands-on experience in data science, pricing models, machine learning, and advanced analytics.
• At least 1 year of experience leading teams or technical initiatives to design, build, and deploy solutions addressing real business problems.
• Deep expertise in econometric modeling, including linear and nonlinear regression, panel data models, fixed and random effects models, and instrumental variables.
• Experience leading, developing, and deploying production pricing solutions, including ownership of model lifecycle, scalability, and performance.
• Advanced proficiency in Python, including pandas, NumPy, and SciPy, and in SQL.
• Strong understanding of algorithmic efficiency, code quality, and computational complexity.
• Demonstrated ability to lead, mentor, and develop technical teams, including guidance on modeling approaches, coding standards, and career growth.
• Strong problem-solving mindset and curiosity when addressing complex, ambiguous, and open-ended business problems.
• Ability to communicate mathematical and analytical concepts clearly and persuasively to technical and non-technical stakeholders, including senior leadership.
• Excellent cross-functional collaboration skills and ability to partner with product, engineering, and business leaders.
• Solid understanding of relational databases and large-scale data environments.

Nice To Haves

• Advanced degree.
• Knowledge of stochastic processes and probability theory.
• Expertise in experiment design and causal inference methods, including difference-in-differences, matching, regression-based causal models, and uplift or incremental impact analysis.
• Experience with machine learning tools and techniques, such as k-nearest neighbors, random forests, and ensemble methods.
• Experience with modern data platforms such as Snowflake and cloud-based analytics ecosystems.
• Experience developing analytics-driven solutions to business problems.
• Ability to understand complex, discrete datasets with subtle underlying biases.
• Knowledge of linear, mixed-integer, nonlinear, or dynamic programming models and familiarity with optimization software such as CPLEX or Gurobi.
• Experience writing efficient code and understanding code complexity.
• Readiness and willingness to debug existing code to identify sources of reported application issues.

Responsibilities

• Provide pricing, statistical modeling, and technical expertise for revenue management, sales, and reservations solutions.
• Analyze large volumes of data and develop business conclusions, recommendations, and innovative models.
• Lead, develop, and deploy pricing solutions in production, including responsibility for model lifecycle, scalability, and performance.
• Contribute complex programming and analysis to revenue management and sales systems.
• Provide modeling expertise throughout projects, including inception, prototyping, design, testing, rollout, and support.
• Provide input on solution structure, tasks, timelines, and estimates for revenue management deliverables.
• Partner with planning teams to identify solutions to business problems and develop requirements for new models.
• Formulate methods for measuring the effectiveness of pricing and revenue management activities.
• Prepare detailed specifications for translating complex business processes into models and prototypes.
• Develop and implement efficient, scalable algorithms using appropriate technologies, software, and architectures.
• Write software and utility tools to create and test new models.
• Assist Application Delivery teams with operations support and maintenance of existing models.
• Provide work and cost estimates for client requests and prepare documentation for client review.
• Conduct reviews, discuss findings, risks, and challenges, and establish courses of action.
• Follow IT and project management standards and processes, maintain an appropriate balance between business and operational risk, and provide input on process improvements.
• When interacting with service providers, validate project plans and metrics, plan team resource use, monitor provider outcomes, review estimates, and facilitate timely resolution of service delivery problems.
• Lead, mentor, and develop technical team members and support their skills and career growth.

Benefits

• 401(k) plan
• Stock purchase plan
• Discounts at Marriott properties
• Commuter benefits
• Employee assistance plan
• Childcare discounts
• Medical coverage for full-time positions
• Dental coverage for full-time positions
• Vision coverage for full-time positions
• Health care flexible spending account for full-time positions
• Dependent care flexible spending account for full-time positions
• Life insurance for full-time positions
• Disability insurance for full-time positions
• Accident insurance for full-time positions
• Adoption expense reimbursements for full-time positions
• Paid parental leave for full-time positions
• Educational assistance for full-time positions
• Washington employees accrue paid sick leave and PTO and are eligible for a minimum of 9 holidays annually

What This Job Offers

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