Onsite Data Science Analyst — ML for Pricing & Revenue

Royal Caribbean Cruises Ltd; Miami (FL); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Cruise privileges

Health benefits

401(k) + company match

Life Insurance

Job summary

Royal Caribbean Group in Miami, FL is seeking a Data Science Analyst to join Revenue Management. This full-time role focuses on pricing, inventory, and demand strategies using data and machine learning.

You will work with cross-functional teams, build data pipelines, and develop dashboards in Power BI, with mentorship from senior data scientists.

Requires a bachelor’s degree and 1–3 years experience; onsite in Miami; we offer comprehensive benefits and career development.

Qualifications

• Requires a bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• 1–3 years of experience in data science, data, or cloud engineering roles.
• Experience with relational SQL and NoSQL databases.
• Proficiency in Python or R for data analysis and modeling.
• Strong analytical skills with foundation in statistics and machine learning.

Responsibilities

• Assemble, clean, and prepare large, complex data sets for model development.
• Build and maintain data pipelines from diverse sources using SQL and cloud tech.
• Create analytics and visualization tools to turn model outputs into insights.
• Develop reporting with Power BI to track KPIs.
• Collaborate with Revenue Management, Marketing, Data Science, and Data Engineering teams.
• Support model development, testing, and validation with statistical methods.

Skills

SQL (relational)

Python

Statistics

Machine Learning

Data Visualization

Communication

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field

Tools

Power BI

Big Data Cloud Platforms

SQL/NoSQL databases

Job description

Royal Caribbean Group in Miami, FL is seeking a Data Science Analyst to join Revenue Management. This full-time role focuses on pricing, inventory, and demand strategies using data and machine learning.

You will work with cross-functional teams, build data pipelines, and develop dashboards in Power BI, with mentorship from senior data scientists.

Requires a bachelor’s degree and 1–3 years experience; onsite in Miami; we offer comprehensive benefits and career development.