FLEX Senior Manager, Data Scientist, Optimization

Marriott International is seeking a FLEX Senior Manager, Data Scientist, Optimization to build and deploy advanced mathematical optimization solutions that turn business and operational challenges into scalable decision applications. This remote role (based in Bethesda, MD) focuses on producing optimization models and tools that support inventory, yielding, capacity, and resource allocation decisions.

What you’ll do

• Formulate complex business and operational problems as mathematical optimization models.
• Translate business requirements into scalable, mathematically rigorous optimization applications.
• Develop, maintain, and enhance linear programming, integer programming, and network optimization models for inventory, yielding, capacity, and resource allocation.
• Build and deploy optimization applications using commercial solvers such as Gurobi and open-source solvers when appropriate.
• Apply advanced optimization techniques, including constraint reformulation and decomposition, to improve performance.
• Analyze solver logs to diagnose and resolve infeasibility, numerical instability, convergence issues, and runtime bottlenecks.
• Run scenario analysis and sensitivity testing to validate outputs, robustness, and business impact.
• Acquire, prepare, and validate large datasets required for optimization workflows and analytical decision-making.
• Develop and maintain data pipelines and validation processes that support reliable optimization solutions.
• Use Snowflake and AWS to access, process, and manage large-scale data supporting development, execution, and production workflows.
• Create visualizations and reporting to communicate recommendations, performance, and business outcomes.
• Develop production-quality Python code and reusable optimization tools for scalable solution delivery.
• Implement testing, monitoring, and governance processes to support model accuracy, reliability, and maintainability.
• Collaborate with engineering, data science, product, and business teams to operationalize optimization solutions.
• Document model assumptions, methodologies, validation results, and implementation approaches.
• Provide technical leadership and guidance on optimization modeling practices, solution design, and algorithmic performance.

Key qualifications

• Master’s degree in Operations Research, Optimization, Computational Mathematics, or a closely related quantitative discipline.
• 6+ years of experience developing and implementing mathematical optimization models using Python and commercial optimization solvers such as Gurobi.
• Strong optimization fundamentals, including linear programming, mixed-integer programming, network optimization, and experience with exact and heuristic algorithms and algorithmic performance.
• Advanced proficiency in Python and SQL, with experience delivering production-quality, maintainable code.
• Demonstrated experience deploying and supporting optimization solutions in production environments.
• Cross-functional collaboration skills to partner with business, product, engineering, and data science stakeholders to deliver scalable solutions.

Technologies

• Python
• SQL
• Gurobi
• Snowflake
• AWS

Preferred background

• Industry experience formulating complex business problems as mathematical optimization models and deploying solutions using commercial solvers at scale.
• Experience diagnosing model weaknesses and improving formulations through tighter bounds, stronger constraints, decomposition methods, and other modeling techniques.
• Knowledge of nonlinear programming, stochastic optimization, or robust optimization.
• Experience with Snowflake and AWS for data processing, model execution, and solution deployment.

Compensation and schedule

• Pay range: $48.26-$75.96 per hour (USD 48 - 75 per hourly)
• Schedule: Full Time
• Location: Bethesda, MD, United States (remote)
• Temporary position: through 12/31/2027
• Expiration date: 11/10/2026

Benefits

• All locations: 401(k)
• Full-time roles: coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, and paid parental leave.
• Washington applicants only: paid sick leave, PTO accrual of 0.0384 hours per hour worked, and eligibility for a minimum of 9 holidays annually.

Additional information: Job Number 26134045. Job Category: Sales & Marketing. Address: 7750 Wisconsin Avenue, Bethesda MD 20814, United States. Located Remotely: Y. Position Type: Management.