Duetto is seeking a Principal Data Scientist to lead the development of scalable, production-ready machine learning models for demand forecasting and other core challenges in hospitality, such as cancellations, overbooking risk, and pricing response, to help hoteliers thrive.
Requirements
- Expertise in time series forecasting, including classical methods (e.g., ARIMA, Exponential Smoothing, State Space Models) and deep learning (e.g., RNNs, Temporal Fusion Transformers).
- Practical experience with Bayesian modeling, including hierarchical models and probabilistic programming (e.g., PyMC3, Stan).
- Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL).
- Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment.
- Experience designing model evaluation and impact measurement frameworks, including causal inference.
- 10+ years of experience delivering impactful data science solutions in production environments.
- Expertise in forecasting and Bayesian modeling.
Responsibilities
- Lead the design, development, and deployment of forecasting and pricing models using a blend of classical time series, deep learning and Bayesian statistical techniques.
- Develop hierarchical forecasting frameworks, including multi-level Bayesian models, that scale across thousands of hotel properties.
- Build uncertainty quantification frameworks to increase trust and robustness in forecasts.
- Guide model architecture choices—balancing complexity, interpretability, and operational feasibility.
- Collaborate closely with engineering to deploy and monitor models in production (e.g., using AWS SageMaker).
- Translate model outputs into actionable insights in partnership with product and business stakeholders.
- Define and execute model performance measurement strategies, including causal inference and uplift modeling.
Other
- MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field.
- Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders.
- Prior experience in the hospitality, travel, or revenue management domain is highly desirable.
- Present findings, experimental results, and strategic recommendations to senior leadership.
- This is an opportunity for a hands-on, full-stack data scientist who thrives in ambiguity, has strong modeling intuition, and is energized by the challenge of building intelligent systems at scale in a complex, real-world domain.
