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Marriott International

Manages and franchises hotels around the world

Senior Manager - Data Science, Pricing Models

Data ScienceConfirmed live in the last 24 hours
Full-timeBethesda, MD, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in a rigorous quantitative, technical, or scientific subject, including Operations Research, Statistics, Mathematics, Economics, or Data Science; an advanced degree is preferred.
  • 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 and related techniques, including linear and nonlinear regression, panel data models, fixed and random effects models, and instrumental variables.
  • Experience leading, developing, and deploying pricing solutions in a production environment, including ownership of model lifecycle, scalability, and performance.
  • Advanced proficiency in Python, including pandas, NumPy, and 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.
  • Ability to communicate complex mathematical and analytical concepts clearly to technical and non-technical stakeholders, including senior leadership.
  • Experience collaborating cross-functionally with product, engineering, and business leaders to drive alignment and execution.
  • Solid understanding of relational databases and large-scale data environments.

Responsibilities

  • Provide input on solution structure, tasks, timelines, and estimates for revenue management deliverables.
  • Partner with planning teams to articulate possible 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 that translate complex business processes into models and prototypes.
  • Develop and implement efficient, scalable algorithms using appropriate technologies, software, and architectures.
  • Write software and utility software 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.
  • Prepare documentation for client review.
  • Conduct reviews, discuss findings, risks, and challenges, and establish courses of action.
  • Follow defined IT standards, processes, and project management standards; provide input for process improvements as needed.
  • Maintain an appropriate balance between business and operational risk.
  • When interacting with service providers, validate their project plans, schedules, deliverables, and metrics; make short-term resource plans; monitor outcomes; review effort estimates; and facilitate timely resolution of service delivery problems to minimize client impact.

Desired Qualifications

  • Knowledge of stochastic processes and probability theory.
  • Expertise in experimental 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.
  • Understanding of complex, discrete data sets with subtle underlying biases.
  • Knowledge of linear, mixed-integer, nonlinear, or dynamic programming models and familiarity with optimization software such as CPLEX and Gurobi.
  • Experience writing efficient code and understanding code complexity.
  • Readiness and willingness to debug existing code to identify the source of reported application issues.

About the Company

Marriott International

Manages and franchises hotels around the world

Marriott International manages and franchises hotels and resorts for leisure and business travelers, with brands spanning luxury stays, select-service hotels and extended visits. Its portfolio includes The Ritz-Carlton, Sheraton and Courtyard, giving hotel owners different formats for serving guests. Most properties belong to third-party owners: Marriott earns management fees tied to hotel revenue and profit, or franchise royalties for use of its brands and systems, while owning or leasing a small share itself. The company also licenses its names for branded residences and vacation ownership properties. With operating roots dating to 1927, Marriott is headquartered in Bethesda, Maryland.

Company size
10,001+
Company stage
IPO
Headquarters
Bethesda, MD
Founded
1927

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