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Lead, Data Scientist in Miami, FL at Royal Caribbean Cruises Ltd.

Date Posted: 2/25/2019

Job Snapshot

Job Description

Position Summary:


The Lead, Shipboard Revenue and Hotel Performance is responsible for leading the development for all decision support tools/models used by onboard revenue and hotel operations, for presenting those tools to senior leadership, and for executing them efficiently.  In addition to developing future models, the Lead is responsible for maintaining and enhancing the suite of current tools and reports used to manage onboard revenue and guests satisfaction. This employee will also perform regular statistical analysis and present results to senior leadership in a business format to assist in decision making and analysis .


Essential Duties & Responsibilities:

  • Develop and maintain demand forecasting model (time series, regression, segmentation models etc.) 
  • Use non-linear regression models to develop price elasticity models
  • Knowledge of linear and integer optimizations, and is able to integrate demand forecasting and price elasticity to develop revenue optimization models
  • Manage the relationship with other analytical teams in the company and
  • IT to design, and implement analytical projects
  • Project management experience to identify business needs, translate business needs into technical requirements, and implement analytical models to meet project deadlines. 
  • Perform algorithmic modeling for Royal Caribbean International revenue optimization while working with onboard operational teams to understand and quantify effects of pricing/policy changes.
  • Integrate with external data sources to discover interesting trends.
  • Design rich data visualizations to communicate complex ideas to internal and external teams.
  • Design and manage data QA and validation using automation and best practices.
  • Collaborate directly with teams/individuals across the company to facilitate the design, research, development, and delivery of data statistics, models and client deliverables.
  • Take ownership of the various components of Data Science Life cycle:
  • Data Wrangling, Feature Engineering, Data Visualization (discovery),
  • Model Generation, Implementation and Maintenance.
  • Continuously get better - seek out opportunities to further develop our analytical, engineering, statistical, etc. toolkit
  • Respond to ad-hoc data and analysis needs while supporting various projects. Conduct analyses of business data, evaluate trends and pattern changes, and learn to disperse results in a format appropriate for the audience.

 

Job Requirements

Qualifications:

  • Master's degree in Operations Research, Industrial Engineering, Statistics or Management Science is preferred.
  • Bachelor's degree from four-year College or university required (in
  • Operations Research, Industrial Engineering, Statistics, Management
  • Science or related field).
  • Post-grad experience as a Data Scientist, preferably 3+ years of experience, including experience designing statistical models.
  • Equivalent combination of education and experience will be considered.
  • Database and analytical programming skills (including SAS and SQL, etc.)
  • Strong knowledge of revenue management and demand forecasting
  • Experience with text analytics and artificial intelligence models
  • Ability to assimilate ideas/concepts into data driven models and strategies.
  • Strong Operations Research modeling skills (optimization and linear programming, etc.).
  • Statistical modeling skills (regression and forecasting, etc.)
  • Project management experience in organizing, planning and executing large-scale projects from conception through implementation.
  • Effective verbal and written communication skills.
  • Understanding of the business in order to validate findings and conclusions and ensure data integrity and accuracy at all times. Understanding of database design and information systems, structure, functions and processes, and experience with database tools.
  • Ability to work in a fast paced environment while managing multiple projects and responsibilities at once

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