Data Scientist

 Miami, , United States

 Full Time

Job Details

Full job description 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 Data Science Manager 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 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: 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 of 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 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 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 Additional Preferred Qualifications: PhD degree in a quantitative field preferred but will also consider candidates that are currently enrolled in a PhD program Experience with Agile Software Development Experience in a large corporation or consulting firm with focus in marketing strategies modeling CRM and management sciences/statistics highly desired Experience with Deep Learning tools and packages such as TensorFlow Keras H2O and Theano Experience with frameworks and languages designed for big-data analysis including Hadoop Spark Hive and Pig Experience with cloud computing frameworks or API¿s such as Microsoft Azure Amazon Web Services and IBM / Watson Must have published articles in a peer-reviewed scientific or academic journal or filed patents in the fields of data science artificial intelligence or machine learning Knowledge and 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 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 Comfortable delivering within an agile program 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 #LI-MP1 Nearest Major Market: Miami
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