It's A Big Universe

Data Scientist, Revenue Management

6893994

Administration – Other
Orlando, FL
Welcome to Universal Orlando!

At Universal Orlando Resort, our Team Members agree that delivering unforgettable experiences is more than just an expectation… it’s The Universal Way. It’s who we are. It’s what we do. And, it’s the reason we strive to be recognized as the number one entertainment destination in the world. Our company culture is every bit as thrilling as the state-of-the-art attractions that line our resort. It takes a special kind of person to combine a solid work ethic, a sense of fun, great guest service and just the right amount of Universal attitude. As part of the NBCUniversal family, we are as committed as ever to continuing to build spectacular experiences based on the most compelling and dynamic movies, books and TV franchises in the universe. We are poised for growth and success and are focused on the future. Our Team Members not only deliver experiences of a lifetime, they work behind the scenes to create them!

You are the center of excellence for Engineering Analytics and Decision Science, providing a competitive advantage through objective, cutting-edge solutions and collaborative approaches by applying business knowledge and advanced quantitative methods to the challenges across the organization worldwide. Our Data Scientist develops and implements innovative solutions to complex business problems and drives continuous process improvement and superior financial performance through advanced analytical approaches, balancing Team Member and Guest satisfaction in cooperation with our internal partners. The Data Scientist ensures that Revenue Management Analysts are equipped with effective decision making models to support and guide pricing decisions. This role combines human behavior with mathematical data to optimize Universal Orlando business decisions.

MAJOR RESPONSIBILITIES:

  • Formulate and apply advanced analytical approaches
    • Utilize mathematical optimization, stochastic process models, econometric methods and decision analysis to develop revenue management models.
    • Develop strategies to drive optimal pricing decision making and lead to incremental operating cash flow.
    • Troubleshoot forecast and optimization anomalies and develop testing to explain and/or reduce these anomalies.

  • Establish performance metric tracking and monitor performance
    • Validate and optimize revenue management system assumptions.
    • Test new products, adjust price and calculate demand sensitivity.
    • Make recommendations and implement changes to optimize profitability.

  • Provide weekly and annual pricing recommendations
    • Collaborate with product owners to refine pricing decisions.
    • Develop and maintain dashboards and reporting to enhance visibility and transparency to the modeling and performance.



EDUCATION and QUALIFICATIONS:

  • Bachelor’s and Master’s Degree in Industrial Engineering, Operations Research, Management Science, Mathematics, Statistics or equivalent is required. Ph.D. is preferred.
  • Minimum of 7-10 years of experience in the field or related area.
  • Experience with statistical modeling tools such as SAS, SPSS, or R required.
  • Strong critical thinking, problem solving skills and ability to work through complex problems.
  • Familiar with visual analytic tools, such as Tableau, is a plus.

Your talent, skills and experience will be rewarded with a competitive compensation package.

We regret, due to the volume of responses, only applicants of interest will be contacted. Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.

To go directly to this position cut and paste the Job Posting number: 30254BR

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