Senior Manager, Data Science - Pricing Models

JOB SUMMARY

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.

CANDIDATE PROFILE

Education and Experience

Required:

• Bachelor’s degree in rigorous quantitative, technical or scientific subject, including Operations Research, Statistics, Mathematics, Economics, Data science; advanced degree preferred

• 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 and related techniques including linear and nonlinear regression, panel data models, fixed and random effects models, instrumental variables

• Experience in leading, developing, and deploying pricing solutions in production environment, including ownership of model lifecycle, scalability, and performance.

• Advanced proficiency in Python (pandas, NumPy, SciPy) and SQL, with a strong understanding of algorithmic efficiency, code quality, and computational complexity.

• Demonstrated ability to lead, mentor, and develop high-performing technical teams, providing guidance on modeling approaches, coding standards, and career growth.

• Strong problem-solving mindset with a natural curiosity for tackling complex, ambiguous, and open-ended business problems.

• Ability to communicate complex mathematical and analytical concepts clearly and persuasively to both technical and non-technical stakeholders, including senior leadership.

• Excellent cross-functional collaboration skills, partnering with product, engineering, and business leaders to drive alignment and execution.

• Solid understanding of relational databases and large-scale data environments.

Preferred:

• Knowledge of Stochastic process, and probability theory

• Expertise in Experiment design and causal inference methods such as difference‑in‑differences, matching, regression‑based causal models, and uplift or incremental impact analysis.

• Experience with Machine learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.)

• Experience with Modern Data platforms (i.e. Snowflake) and cloud-based analytics ecosystems.

• Experience in developing analytic driven solutions to business problems

• Understands complex, discrete data sets with subtle underlying biases

• Knowledge of 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

More Pricing manager roles