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Senior Data Scientist


Royal Caribbean is looking for a seasoned, experienced, curious Data Scientist to lead Research & Development initiatives and assimilate new, cutting-edge technologies into broader Artificial Intelligence and Machine Learning capabilities. The position requires directing a team of other data scientists and machine learning professionals.

This Data Scientist focuses on architecting, deploying, and evaluating the feasibility of emerging technologies within the fields of Data Science, Artificial Intelligence, and Machine Learning. They work independently and in collaboration with other Data Scientists to explore new capabilities that will continue to keep Royal Caribbean Cruise Lines ahead of its competitors. 



  • A successful candidate will possess a strong background in statistics, mathematics, artificial intelligence, research methods, experiment design, developing novel solutions beyond well-established techniques, and taking new technologies from prototypes to robust products.
  • The candidate should demonstrate a progressive maturation of previous research projects, publications, patents, or similar capabilities in applied research.
  • This individual will be responsible for scripting/programming, mentorship, stakeholder presentation, and 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.
  • Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision), and engineering methods to Royal Caribbean Cruise Lines, data science, and AI ecosystem.
  • Must be comfortable doing so with little or no documentation or reliance on research articles and papers.
  • Evaluate the progress of Data Scientists, the AI & Robotics team, and the company at large on the acclimation of research methods towards the rapid delivery of experimental technologies to a prototype state.
  • Execute these objectives for purely exploratory endeavors and established products requiring novel ingenuity to meet known stakeholder objectives.
  • Manipulates high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends.
  • Empower and enhance the capabilities of Data Scientists and the AI & Robotics team to properly design R&D explorations, rapidly experiment with, prototype, and demonstrate the viability of in-house research.
  • Collaborate with Digital, IT, and 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. Work with product and enterprise teams via both Agile And Waterfall Methodologies.
  • Foster a `data-driven culture based on pragmatism and strategic decision through rigorous factual analysis at all levels. Should be willing to engage outside the immediate team to expand data science footprint throughout the organization.



  • Masters degree in Statistics, Operations Research, Mathematics, Economics, Computer Science, Engineering, Physics, Chemical Engineering, or a comparable field in statistical analysis using models, algorithms, or programmed solutions.
  • 5+ years of experience with programming languages: R, Python, Java, C++, C#, Scala, SAS, MATLAB, or similar scripting languages. 
  • Proficiency with SQL required.
  • 5+ years of experience across a breadth of data science, AI, and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning, and GPU-based algorithms (CNN, LSTM), computer vision
  • 5+ years designing experiments and researching novel solutions beyond established literature or documentation
  • 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 as t-test of means, Tukey-HSD tests on groups, ANOVA, Proportion tests, data normalization and scaling, and 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 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 preparing or collaborating on presentation decks and delivering final stakeholder presentations as a primary or supporting presenter.
  • Knowledgeable and can quickly ramp up and leverage cloud-based cognitive service APIs such as Microsoft Azure, AWS, or IBM Watson.
  • Is passionate about their work but willing to support several projects at one time and can accept reprioritization as necessary.
  • Comfortable delivering within an agile program.



Nearest Major Market: Miami

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