Manager, Data Science – Revenue Management
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JOB SUMMARY: Drive adoption of pricing recommendations developed from the Revenue Management System by collaborating with business partners in Merchandise, Food & Beverage, and Express. Formulate and apply advanced analytical approaches in the development of revenue management models to drive that adoption. Support and guide Revenue Management Analysts on the use of advanced model development methodologies to develop sound pricing recommendations.
- Formulate and apply advance analytical approaches in the development of revenue management models for Express, Food & Beverage, and Merchandise. Support and guide Revenue Management Analysts on the use of advanced model development techniques. Develop strategies that will drive optimal pricing decision making and lead to incremental operating cash flow.
- Provide pricing recommendations, collaborate with product owners to refine pricing decisions and implement pricing recommendations. Develop and maintain dashboards and reporting to further enhance visibility and transparency to the modeling and performance.
- Establish key performance tracking metrics and monitor ongoing performance; validate and optimize revenue management system assumptions and setting on an ongoing basis. Test new products, adjust price and calculate demand sensitivity to make recommendations and implement changes to optimize profitability.
- Troubleshoot forecast and optimization anomalies with revenue management team through the use of statistical and mathematical optimization models. Develop testing to explain and or reduce these anomalies.
SCOPE: Develop Revenue Management models and solutions for Express/FOL, Food, Merchandise and other ancillary products across all domestic parks sales channels.
EDUCATION: High school degree or GED is required. Bachelor’s and Master’s degree is required. Ph.D. is preferred. MS and Ph.D. degrees in Industrial Engineering, Operations Research, Management Science, Mathematics, Statistics or equivalent.
- Minimum of 7-10 years of experience in the field or in a related area.
- Able to query databases using SQL, R and/or Python.
- Coding experience with Python or R preferred.
- Experience in entertainment, food and beverage and/or retail industries preferred.
- Familiar with visual analytic tools, such as Tableau, is a plus.
- Strong critical thinking, problem solving skills and ability to work through complex problems.
- Strong critical thinking and problem solving skills.
- The ability to work through complex problems.
- Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats.
- Strong interpersonal, technical and presentation skills required.
Your talent, skills and experience will be rewarded with a competitive compensation package.
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