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The Royal Caribbean Group’s Data Science team has an exciting career opportunity for a full time Data Scientist reporting to the Senior Manager, Data Analytics and AI.

This position will work on-site in Miami, Florida.

Position Summary

Royal Caribbean is seeking a passionate and inquisitive Data Scientist to join the centralized Data Science team. This role will focus on high-value project initiatives across different business areas with a focus in Revenue Management and Dynamic Pricing. Data Scientists are expected to work independently and in collaboration with other Data Scientists and Business Leaders to explore new capabilities that will continue to keep Royal Caribbean Group ahead of its competitors in this space. While research oriented, the success of role will be dependent on the tangible value their efforts and the efforts of the Data Science team will add.
 

Essential Duties and Responsibilities

• A successful candidate will possess a strong background in one of the following or a related area: Statistics, Mathematics, Programming, Data Analysis, Experiment Design, Machine Learning, Industrial Engineering, Operations Research, Management Science, Business Analytics, Economics, and Numerical Optimization / Linear Programming.
• The candidate should demonstrate the ability to use these skills to use these skills to make improvements to existing production models as well as new projects. They will work to quantify and prove the model improvements post-production as well as estimate revenue impacts of these improvements.
• The candidate should be eager to work on various types of production machine-learning processes, have a high level of curiosity, be results-oriented, have an aptitude for understanding business problems, and - most importantly - enjoy problem solving.
• Lastly, the candidate should be interested in the intersection of machine learning with traditional operations research, industrial engineering, and management science areas.
• Major Responsibilities Include: Working with other Data Scientists to both build new and improve existing production machine learning and optimization solutions. Validating model accuracy and performance as well as revenue impacts of the end-to-end solutions.
• Working with other Data Scientists in a R&D fashion to understand new potential avenues for improving the machine learning and optimization components used in production systems.
• Working in collaboration with the business, data science team, and machine-learning engineers to deploy all steps of end-to-end machine learning solutions that are highly visible to the business.
• Collaborate with Business stakeholders to design and implement R&D prototypes into broader automated systems and establish a Minimum Viable Product.
• Assist with research related to customer based analytical practice and develop communications for management and strategies for building institutional knowledge.
• Perform other duties as assigned

This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform other job-related duties assigned by their supervisor or management.

Qualifications & Education

• Bachelor’s degree required in Statistics, Industrial Engineering, Operations Research, Mathematics, Economics, Computer Science, Physics, or field of comparable foundations in mathematical / statistical analysis and programming.
• 2+ years’ experience with any of the following programming languages: R, Python, Java, C++, C#, Scala, SAS, MATLAB or similar scripting languages. Similar experience and proficiency with SQL required.
• 2+ years’ experience across data science disciplines including, but not limited to: forecasting, exploratory data analysis, experiment design, machine learning, industrial engineering, economics, and numerical optimization / linear programming.
• Experience with statistical methods such t-test of means, Tukey-HSD tests of means on groups, ANOVA, Proportion tests, data normalization and scaling, univariate and multivariate outlier detection.
• 2+ years’ experience using modeling techniques such as generalized linear models, decision trees and random forests, neural networks, k-nearest-neighbor, support vector machines, cluster analyses, and assembling methods.
• Strong Oral and Written skills.

Preferred Qualifications

• Master’s degree or Ph.D. in a quantitative field preferred.
• Experience with Deterministic Optimization, Stochastic Optimization, and Mixed-Integer Linear Programming.
• Experience with Reinforcement Learning and Semi Markov-Decision Processes.
• Experience with frameworks and languages designed for big-data analysis, including Hadoop, Spark, Hive, and Pig
• Experienced in Object Oriented Programming
• Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM, pricing, and management sciences highly desired.
• Experience with cloud computing frameworks or API’s such as Microsoft Azure, Amazon Web Services and IBM / Watson

Knowledge & Skills

• Must have a strong background in one or more of the following: Statistics, Mathematics, Programming, Data Analysis, Experiment Design, Machine Learning, Industrial Engineering, Operations Research, Management Science, Economics, and Numerical Optimization / Linear Programming.
• 2+ years of experience using Python and common Python toolkits for Machine Learning. (Pandas, NumPy, scikit-learn)
• 1+ years’ experience with having deployed end-to-end analytics or machine learning solutions.
• Experience with Git, MLFlow, or other methods of version control for models.
• A strong capacity for learning and assimilating new techniques, tools and methods.
• Comfortable with preparing or collaborating on presentation decks as well as delivering final stakeholder presentations as primary or supporting presenter.
• Has knowledge and can quickly ramp-up and leverage cloud-based cognitive service APIs such as Microsoft Azure, AWS and/or IBM Watson.
• Is passionate about your work, but willing to support several projects at one time and can accept reprioritization as necessary.
   

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.
 

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