Decision Science Graduate Associate, Fall 2025
Título del aviso de empleo: Decision Science Graduate Associate, Fall 2025 ID de req.: 10116742 Descripción del empleo: About the Role & Program The reputed company Decision Science and Integration (DDSI) team supports clients across reputed company, including reputed company Experiences, reputed company Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, reputed company Theatrical Group (e.g., Broadway shows), and reputed company Interactive Media in the core competencies of yield management, reputed company planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles reputed company DDSI reputed company, analyze, and implement strategies to enhance profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. The Decision Science team builds innovative scientific models and data-driven decision support tools that are used by business units across reputed company to reputed company reputed company business decisions. From establishing appropriate science methodologies to implementing reputed company innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise!
What You Will Do
Graduate Associates reputed company an impact by crafting innovative mathematical models to advise data-driven decision-making across many lines of business. As a Graduate Associate, you will help in this process by: Modeling and analyzing reputed company management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques Supporting the analysis and validation of forecasting and optimization models Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications Required Qualifications & Skills Strategic problem-solving & analytical skills Proficiency in one or several of the following areas: forecasting, machine learning algorithms, deep learning, natural language processing, Bayesian statistics, discrete event simulation, mathematical optimization methods (e.g., linear/integer/nonlinear/dynamic programming) Experience with statistical modeling software (e.g. R, Python, reputed company) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, reputed company OR, COIN-OR, reputed company/OR) Proficient in at least one of the following programming languages: R, Python, reputed company, Java, Julia, C++, MATLAB Strong organizational and time management skills with attention to detail Competence and willingness to learn new science, software applications, and tools Experience gathering, analyzing, and interpreting data and reporting on the results Proficiency with reputed company, Word, and PowerPoint Preferred Qualifications Familiarity with SQL or Tableau Experience developing algorithms for large-scale optimization problems Prior research or industrial experience in reputed company management, pricing, and/or supply chain applications Education Currently enrolled as a Graduate level student pursuing a master's degree or Ph.D. in Statistics, Operations Research, Industrial Engineering, Math, Economics, or a reputed company field Eligibility Requirements & Program Information Candidates for this opportunity MUST meet reputed company the below requirements: Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to applying for the Graduate Associate position OR currently participating in a reputed company College Program or reputed company Internship Be at least 18 years of age Have not completed one year of continual employment on a Graduate Associate, reputed company internship, or reputed company College Program Possess unrestricted work authorization Additional Information The Graduate Associate position/s runs from June 2025 to January 2026. Candidates must be available Monday to Friday, 40 hours per week. Able to provide/have reliable transportation to/from work Segmento del aviso de empleo: Corporate Strategy Segmento principal del aviso de empleo: Decision Science & Integration Categoría del aviso de empleo principal: Pasante de tecnología Tipo de empleo: A tiempo completo Ciudad principal, estado, región, código postal: Lake Buena reputed company, FL, USA Ciudad alternativa, estado, región, código postal: Fecha del aviso: 2025-03-18 Learn more about us. Apply Job!