Princess is looking for an AI Data Scientist to drive innovation, insight generation, and business impact through advanced analytics and artificial intelligence, translating complex business challenges into scalable data science initiatives and shaping the roadmap for AI adoption.
Requirements
- Apply statistical and machine learning techniques—including regression, classification, clustering, time series forecasting, and uplift modeling—to solve complex business problems.
- Design and evaluate experiments (e.g., A/B testing) across digital and offline channels, ensuring statistical rigor and actionable insights.
- Monitor model performance over time, define success metrics, and implement strategies for continuous improvement and recalibration.
- Drive the exploration and adoption of cutting-edge AI methodologies, including generative models, natural language processing, and personalization engines.
- Build and transform large-scale datasets from diverse sources, performing feature engineering, variable selection, and data cleansing to support robust analysis.
- Develop complex SQL and Python workflows to automate data preparation, model training, and performance monitoring.
- Contribute to internal libraries and tools that enhance the scalability and efficiency of data science efforts.
Responsibilities
- Lead the development and deployment of predictive models that forecast guest behavior, optimize pricing and promotions, and improve operational efficiency.
- Apply statistical and machine learning techniques—including regression, classification, clustering, time series forecasting, and uplift modeling—to solve complex business problems.
- Design and evaluate experiments (e.g., A/B testing) across digital and offline channels, ensuring statistical rigor and actionable insights.
- Monitor model performance over time, define success metrics, and implement strategies for continuous improvement and recalibration.
- Drive the exploration and adoption of cutting-edge AI methodologies, including generative models, natural language processing, and personalization engines.
- Build and transform large-scale datasets from diverse sources, performing feature engineering, variable selection, and data cleansing to support robust analysis.
- Develop complex SQL and Python workflows to automate data preparation, model training, and performance monitoring.
Other
- 5+ years of experience in strategic project management, preferably in hospitality, cruise, or travel industries.
- Proven ability to lead cross-functional initiatives and deliver measurable outcomes
- Strong analytical, communication and stakeholder management skills.
- Strong understanding of shipboard operations and guest experience drivers.
- Ability to thrive in a fast-paced, matrixed environment.
