Senior Data Scientist
Listed on 2026-05-04
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
One of the best‑known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can’t. The Love Boat promises something for everyone.
Sr. Data Scientist – YODA Revenue ManagementPrincess Cruises operates an advanced and extremely complex revenue management system (YODA) which was a finalist for the Edelman Awards in 2020. The YODA data scientists play a key role in ensuring the system remains the industry leader. This position is part of a global data science community, resides in a Princess team and applies deep technical knowledge of YODA to develop improvements to the machine‑learning and artificial‑intelligence systems/algorithms and support their deployment.
Responsibilities- RMS SUPPORT:
Provide coaching and support to colleagues across global teams; lead escalated support for anomalous results using SQL and scientific modules; collaborate with analysts to balance science recommendations and business constraints. - RMS IMPROVEMENTS & GLOBAL
COLLABORATION:
Gather requirements, prototype improvements to ML/AI elements, present prototypes to the wider data science community, and collaborate on projects across brands; regular travel up to ~25% of the time. - DRIVE IMPROVEMENTS THROUGH DATA‑DRIVEN PROJECTS:
Collaborate with senior staff, influence decisions using analytical studies, stay current with technologies, attend conferences, and build networks in the AI community.
- Proven record of teamwork, problem solving, and influencing decision making.
- Application of statistics, statistical modelling, and/or machine learning to real‑world problems.
- Experience with large AI/ML software projects using agile frameworks.
- Strong interpersonal and communication skills.
- High level of self‑organization, prioritisation, and initiative.
- Customer focus, business acumen, curiosity, and ethical AI practices.
- Extensive experience with databases (SQL) and/or visualisation/statistical software such as Power BI; experience with Cloud systems such as Snowflake/Snowpark highly valued.
- Experience creating and tuning ML models from EDA to production using Python (or similar).
- Working with remote or global distributed teams.
- Optimization techniques and generative AI (GenAI).
- Intermediate language skills in Italian or German.
- Master's or advanced degree in a quantitative discipline; bachelor's degree acceptable with strong technical experience.
- 5–7 years of data‑science experience (advanced degree can mitigate). Experience working with non‑scientifically trained staff, coding in at least one language (Python, R, SQL).
Travel: less than 25% non‑shipboard travel likely.
Work ConditionsPhysical Demands: (brief description omitted for brevity – note position is Hybrid, working from a designated Princess office Monday through Thursday, home Fridays.)
Benefits- Cruise and travel privileges for you and your family.
- Health benefits.
- 401(k).
- Employee Stock Purchase Plan.
- Training & professional development.
- Tuition & professional certification reimbursement.
- Rewards & incentives.
Princess is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Americanswith Disabilities Act (ADA)
Princess will provide reasonable accommodations during the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact
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