Duetto · 3 months ago
Lead Scientist, Pricing
Duetto is a high-growth global technology company transforming the hotel industry through innovative analytical solutions. They are seeking a Lead Data Scientist to develop intelligent pricing systems using reinforcement learning and mathematical optimization, collaborating closely with engineering and product teams to enhance their dynamic pricing engine.
Big DataBusiness IntelligenceCloud ComputingHospitalityPrice ComparisonSaaSTravel
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
Qualification
Required
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
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
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference
Preferred
Prior experience in the hospitality, travel, or revenue management domain is highly desirable
Company
Duetto
Duetto specializes in cloud applications, SAAS, revenue management systems, and hotel leadership software.
H1B Sponsorship
Duetto has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (3)
2023 (3)
2022 (5)
2021 (3)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$143.2MKey Investors
Warburg PincusIcon VenturesAccel
2024-06-27Acquired
2018-02-14Series D· $80M
2015-08-04Series C· $30M
Recent News
2025-12-05
2025-07-29
Company data provided by crunchbase