As an intern at our corporate headquarters, you'll be part of a top-notch global workforce.

Team Overview:
Royal Caribbean is seeking a passionate and inquisitive Data Science Intern to collaborate with the centralized Data Science team. The intern will assist Data Scientists on high-value project initiatives across different business areas (e.g. Revenue Management, E-Commerce, Supply Chain, and Marine Operations). Data Science interns are expected to work independently and in collaboration with other Data Scientists 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.

Internship Overview:
• A successful candidate will possess a strong background, either professionally or academically, in statistics, mathematics, artificial intelligence, research methods, experiment design, developing novel solutions beyond the use of well-established methods, and taking new technologies to a prototype state that can be expanded into a robust product.
• This individual will be responsible for scripting / programming, mentorship, stakeholder presentation, collaboration with other team members to execute a research experiment within the framework of implementing, utilizing and expanding R&D capabilities within the broader Data Science team.
• Help collect, analyze, and interpret datasets using machine learning and other data mining techniques.
• Visualize data, create analytics reports, and build dashboards for communicating insights to business stakeholders.
• Develop predictive models for business forecasting and process optimization.
• Formulate and test hypotheses to evaluate business strategies and measure business impact.
• Build robust data pipelines that combine data across different business domains.
• Apply big-data tools to process massive datasets within a cloud-computing environment.
• Must be comfortable doing so with little or no documentation or reliance on research articles and papers.

Qualifications:
• Pursuing a Bachelor's degree in Statistics, Operations Research, Mathematics, Economics, Computer Science, Engineering, Physics, Chemical Engineering or field of comparable foundations in mathematical and statistical analysis using models, algorithms or programmed solutions.
• Read and write code in Python and SQL (2+ years of experience).
• Experience with data mining processes (SEMMA, CRISP-DM), data preparation, consolidation, imputation, transformation, interaction, variable reduction, modeling, maintenance, and post-mortem analysis.
• 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.
• Experience with modeling techniques such as linear models, decision trees, neural networks, k-nearest-neighbor, support vector machines, cluster analyses, and ensembling methods.
• Strong Oral and Written skills.
• Must be willing to work in South Florida offices from June 3rd - August 9th, 2024
• U.S. Citizenship or Permanent Residency required
• GPA of 3.2 or higher is preferred, and proven leadership skills either in school or professional experience

Knowledge & Skills:
• Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
• Demonstrates 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.
• Is passionate about your work, but willing to support several projects at one time and can accept reprioritization as necessary.
• Comfortable delivering within an agile program.

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.

RCG and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.