Data Scientist

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

 

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

 

In this position, you will focus on architecting, deploying and evaluating the feasibility of emerging technologies within the fields of Data Science, Artificial Intelligence and Machine Learning. You 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 your efforts and the efforts of the Data Science team will add.

 

You will need to 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. You should also demonstrate a progressive maturation of prior research projects, publications, patents or similar capabilities in the field of applied research.

 

Essential Duties and Responsibilities:

 

• 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.
• Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to the Royal Caribbean Group’s data science and AI ecosystem.
• Evaluate the progress of Data Scientists, the AI and 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 objectives with respect to both purely exploratory endeavors as well as established products requiring novel ingenuity to meet known stakeholder objectives.
• Manipulate 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 and 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, 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 organization.

 

Qualifications, Knowledge and Skills:

 

• Master’s degree required in Statistics, Operations Research, Mathematics, Economics, Computer Science, Engineering, Physics, Chemical Engineering, or field of comparable foundations in mathematical and statistical analysis through the use of models, algorithms or programmed solutions.
• 5+ 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.
• 5+ years’ 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),