Scientist, Data

Journey with us! Combine your career goals and sense of adventure by joining our incredible team of employees at Royal Caribbean Group. We are proud to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world. We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

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

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

Position Summary:

Royal Caribbean is seeking a seasoned, experienced and inquisitive Data Scientist that will lead our Research & Development initiatives and assimilate new, cutting-edge technologies into our broader Artificial Intelligence and Machine Learning capabilities. The position demands an inquisitive individual who can direct a team of other data scientists and machine learning professionals to deliver.

This Data Scientist will focus on architecting, deploying and evaluating the feasibility of emerging technologies within the fields of Data Science, Artificial Intelligence and Machine Learning. They are expected to 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 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, 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.
• The candidate should demonstrate a progressive maturation of prior research projects, publications, patents or similar capabilities in the field of applied research.
• 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.
   

Major responsibilities include:
 

• 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 not documentation or reliance on research articles and papers.
• Evaluate the progress of Data Scientists, the AI & Robotics team, and company at large on the acclimation of research methods towards the rapid delivery of experimental technologies to a prototype state.
• Execute these objectives with respect to both purely exploratory endeavors as well as 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 as whole to properly design R&D explorations, rapidly experiment with, prototype, and demonstrate the viability of in-house research.
• Collaborate with Digital, IT, 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 m