Lead, Data Scientist
Company: Royal Caribbean Cruises Ltd
Location: Miami
Posted on: February 25, 2021
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Job Description:
Lead, Data Scientist in Miami, FL at Royal Caribbean Group Royal
Caribbean Group comprises six distinctive companies that share a
vision anchored in excellence. We have a common passion for
creative thinking, innovative engineering and outstanding guest
service that drives continuous improvement in everything we do. The
entire Royal Caribbean family is committed to the legacy of
hospitality and culture of innovation that is at the core of our
guest service, the protection of our natural environment and
responsible citizenship in our global community. Job Description
We're hiring for multiple Data Science levels (Data Scientist,
Senior Data Scientist, & Lead Data Scientist). Journey with
us!--Combine your career goals and sense of adventure by joining
our exciting team of employees. Royal Caribbean Cruises Ltd. is
pleased to offer a competitive compensation & benefits package, and
excellent career development opportunities, each offering unique
ways to explore the world.-- 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.-- 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. Job Requirements Qualifications, Knowledge,--and
Skills:-- Masters 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), 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. Ph.D. degree in
a quantitative field preferred, but will also consider candidates
that are currently enrolled in a Ph.D. 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 APIs 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 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. 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. RCL and each of its subsidiaries prohibit and
will not tolerate discrimination or harassment.-- If you're
interested in career opportunities, but not ready to apply, join
our Talent Network to stay connected to us and receive updates on
the latest job opportunities and company news. Royal Caribbean
Group is an Equal Opportunity Employer.
Keywords: Royal Caribbean Cruises Ltd, Miami , Lead, Data Scientist, Other , Miami, Florida
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