Associate Data Scientist

Carnival Corporation•Seattle, WA

4h•Onsite

About The Position

The Associate Data Scientist will play a hands-on role in supporting the ongoing development, enhancement, and adoption of YODA—the proprietary yield optimization and demand analytics platform built and owned by the data science teams across Carnival Corporation. You will work closely with the Revenue Management (RM) teams across Holland America Line and Seabourn, ensuring YODA’s models and analytics are accurate, accessible, and actionable for end users. Your work will help RM teams make better, data-driven decisions and maximize net revenue and profitability.

Requirements

Bachelor’s or Master’s degree in Mathematics, Statistics, Operations Research, Data Science, or a related numeric discipline.
Experience (internship or 0–2 years) in a data science, analytics, or quantitative modeling role (travel or revenue management industry experience a plus).
Technical proficiency in Python or R, and SQL/relational databases.
Familiarity with forecasting, optimization, and statistical modeling techniques.
Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
Professionalism, reliability, and a collaborative approach to teamwork
At least 2 years experience in a data scientist role, preferably within the travel industry
Experience within Revenue Management
Experience in Systems development a plus, with technical expertise in R or Python, and SQL / relational databases

Nice To Haves

travel or revenue management industry experience a plus
Experience in Systems development a plus

Responsibilities

Serve as a primary point of contact for RM teams, providing day-to-day support, troubleshooting, and guidance on YODA’s features and outputs.
Scope and Develop models as appropriate to support day-to-day pricing and inventory decisions and operations. Help interpret model outputs and analytics for non-technical stakeholders, supporting improved price and inventory decisions.
Gather feedback from end users, translate business questions into analytical tasks, and ensure YODA’s tools are well understood and effectively adopted.
Assist in building, validating, and updating forecasting and optimization models within YODA, including price elasticity, booking materialization, cancellation/retention, constraining, and segmentation models. Communicate model updates and implications clearly to RM teams, ensuring transparency and trust in the analytics.
Work closely with the Revenue Science Manager, BI, and ML Ops teams to feed advanced analytics into YODA and associated reporting/alerting systems.
Recommend and help implement enhancements to YODA’s toolset and functionality based on user feedback and business needs.
Own YODA release testing for the brands, ensuring all models and changes applied work for the RM teams.
Maintain clear, user-friendly documentation and training materials for YODA.
Support the onboarding and upskilling of RM team members, helping them build confidence and proficiency in using advanced analytics tools.