Lead Data Scientist

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 Lead Data Scientist with deep expertise in pricing science, including reinforcement learning and mathematical optimization, to drive the next generation of our dynamic pricing engine.

In this role, you will lead the development of ML systems that learn optimal pricing strategies for thousands of hotels, dynamically adapting to demand signals, business constraints, and market changes.

You’ll collaborate closely with engineering and product teams to design models that move beyond our legacy pricing approaches—enabling context-aware, self-learning price policies that deliver measurable revenue impact.

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 development of intelligent pricing systems using reinforcement learning, constrained optimization, and simulation-based approaches.
• Apply a combination of mathematical optimization, dynamic programming, and advanced reinforcement learning algorithms (e.g., model-free, policy gradients, model-based RL) to develop adaptive pricing strategies at scale.
• Incorporate price elasticity modeling, demand forecasts, and business constraints into the optimization framework.
• Build and validate simulation environments to evaluate policies offline and ensure robustness before production deployment.
• Collaborate with engineering to productionize and monitor models in cloud environments such as AWS SageMaker.
• Collaborate with engineering to productionize optimization models via batch or real-time pricing APIs (e.g., using AWS SageMaker).
• Partner with product, pricing, and revenue strategy teams to define objectives and translate pricing insights into business outcomes.
• Define and execute model performance measurement strategies, including causal inference and uplift modeling and A / B testing
• Present findings, experimental results, and strategic recommendations to senior leadership.

Qualifications :

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 / .