Senior Manager - Data Scientist - Pricing

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