Principal Data Scientist

Duetto; Austin (TX); On-site; USD 180,000 - 200,000; Full time

Job summary

A leading technology company, Duetto, seeks a Principal Data Scientist with expertise in forecasting and Bayesian modeling. The role involves developing machine learning models to optimize demand forecasting in the hospitality sector, working in a flexible and collaborative environment. Candidates should possess a strong background in data science along with effective communication skills to relay insights to stakeholders.

Qualifications

• 10+ years of impactful data science experience in production environments.
• Strong communication skills for presenting complex analytical concepts.
• Experience in the hospitality or revenue management domain is desirable.

Responsibilities

• Lead development of scalable machine learning models for demand forecasting.
• Guide model architecture choices, balancing complexity and interpretability.
• Collaborate with engineering teams for model deployment and monitoring.

Skills

Forecasting

Bayesian modeling

Machine learning

Time series analysis

Programming in Python

SQL

Education

MS or PhD in Statistics, Econometrics, Computer Science, or related field

Tools

AWS SageMaker

PyTorch

TensorFlow

scikit-learn

Job description

The Company:

We are an ambitious, well-funded, high-growth global technology company transforming the hotel industry. At Duetto, we are passionate about creating innovative analytical solutions to help hoteliers thrive. Although we work hard, the work atmosphere is casual, flexible, collaborative, and most of all, fun.

The Company:

We are an ambitious, well-funded, high-growth global technology company transforming the hotel industry. At Duetto, we are passionate about creating innovative analytical solutions to help hoteliers thrive. Although we work hard, the work atmosphere is casual, flexible, collaborative, and most of all, fun.

Duetto offers an open and collaborative work environment and believes that by cultivating a team with diverse backgrounds, perspectives, and experiences, it will continue to lead the industry with its cutting-edge platform-based hospitality technology.

Introduction:

We are seeking a Principal Data Scientist with deep expertise in forecasting and Bayesian modeling 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.

In this role, you will design and implement the scientific foundation behind Duetto's forecasting engine, taking on the unique challenge of building and maintaining thousands of personalized models—one for each hotel partner—tailored to their unique market dynamics and booking behavior.

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.

Key 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.
• Present findings, experimental results, and strategic recommendations to senior leadership.
  
  

Qualifications:

• MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field.
• 10+ years of experience delivering impactful data science solutions in production environments.
• 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.
• 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.
• Experience designing model evaluation and impact measurement frameworks, including causal inference.
  
  

About Duetto:

Duetto delivers a suite of SaaS cloud-native applications for hospitality businesses to optimize every booking opportunity for greater revenue impact. The unique combination of hospitality experience and technology leadership drives Duetto to look for innovative solutions to industry challenges. The software as a service platform allows hotels, casinos, and resorts to leverage real-time dynamic data sources and actionable insights into pricing and demand across the enterprise. For more information, please visit https://www.duettocloud.com/.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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