Senior Manager - Data Scientist - Pricing

Requirements

• formulates methods for measuring the effectiveness of pricing and revenue management activities.

Additional Information

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 processes and provides input for improveme

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