FAQs
What is the main focus of the Data Science Analyst role at Royal Caribbean?
The main focus of the Data Science Analyst role at Royal Caribbean is to assist Data Scientists on high-value project initiatives with a primary emphasis on Revenue Management and Dynamic Pricing, while exploring new capabilities to keep the company competitive.
What kind of educational background is required for this position?
A Bachelor’s degree is required in Statistics, Industrial Engineering, Operations Research, Mathematics, Economics, Computer Science, Physics, or a related field that provides a foundation in mathematical/statistical analysis and programming.
How much experience is necessary for candidates applying for this role?
Candidates are expected to have at least 1+ years of experience in data science disciplines such as forecasting, exploratory data analysis, experiment design, machine learning, and optimization techniques, as well as proficiency in a programming language and SQL.
Which programming languages should a candidate be familiar with?
Candidates should have experience with programming languages such as R, Python, Java, C++, C#, Scala, SAS, MATLAB, or similar scripting languages, along with proficiency in SQL.
What are the key responsibilities of a Data Science Analyst at Royal Caribbean?
Key responsibilities include collaborating with internal Data Science teams on model performance validation, quantifying the financial impact of projects, constructing A/B tests, designing and implementing R&D prototypes, assisting with customer-based analytical practices, and creating structured reports for monitoring business impact KPIs.
What kind of statistical methods should candidates be familiar with?
Candidates should have experience with statistical methods such as t-tests, ANOVA, Tukey-HSD tests, proportion tests, data normalization, scaling, and univariate/multivariate outlier detection.
Are there any preferred qualifications that would benefit applicants for this role?
Yes, preferred qualifications include experience in a large corporation or consulting firm with a focus on marketing strategies, modeling, or management sciences, familiarity with linear programming and deterministic optimization, and experience with big-data frameworks and cloud computing services.
What tools and languages should a candidate be familiar with for big-data analysis?
Candidates should have experience with frameworks and languages designed for big-data analysis, including Hadoop, Spark, Hive, and Pig, as well as cloud computing frameworks like Microsoft Azure and Amazon Web Services.
What skills are necessary for successful communication in this role?
Strong oral and written communication skills are necessary, as the role involves preparing presentations, collaborating on reports, and delivering stakeholder presentations.
Is there an emphasis on collaboration in this role?
Yes, the role emphasizes collaboration with internal Data Science teams and business stakeholders to achieve continuous model improvement and develop data-driven solutions.
What personal qualities are desirable for candidates applying for this position?
Desired qualities include being results-oriented, having a high level of curiosity, strong problem-solving abilities, and a willingness to support multiple projects and adapt to changes in prioritization as necessary.