Duetto is seeking a Lead Data Scientist to drive the next generation of their dynamic pricing engine by developing ML systems that learn optimal pricing strategies for thousands of hotels, dynamically adapting to demand signals, business constraints, and market changes.
Requirements
- Demonstrated success applying reinforcement learning in production settings, ideally in pricing or dynamic decision environments.
- Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL).
- Experience with Python-based libraries for mathematical optimization and reinforcement learning, and familiarity with simulation environments for offline policy evaluation
- 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.
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).
- Define and execute model performance measurement strategies, including causal inference and uplift modeling and A/B testing
Other
- MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field.
- 7+ years of hands-on experience building data science solutions for pricing, decision-making, or control systems.
- 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.
- Partner with product, pricing, and revenue strategy teams to define objectives and translate pricing insights into business outcomes.
- Present findings, experimental results, and strategic recommendations to senior leadership.
