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Principal Data Scientist

USA

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:

Join our dynamic team as a Principal Data Scientist and lead the revolution in the hospitality industry by creating cutting-edge solutions for hotel demand and pricing prediction. We seek an experienced full-stack data scientist to develop machine learning models that drive strategic decision-making and optimize revenue. You will collaborate closely with engineering and product teams, leading scientific efforts to enhance Duetto’s revenue management offerings, ultimately empowering hotels worldwide to make better decisions.  At Duetto, our Data Science team is a critical part of our organization and deserves much credit for us being ranked #1 in our market for the last 4 years!

Key Responsibilities:

  • Lead efforts in developing scientific solutions to predict hotel demand and pricing using statistical modeling and machine learning techniques, focusing on classical time series models, neural networks, and hierarchical forecasting methods.
  • Apply state-of-the-art deep learning techniques to forecasting and pricing problems. 
  • Lead projects and provide technical guidance to junior team members.
  • Collaborate with engineering teams to integrate ML solutions into our products.
  • Work closely with product and engineering teams to translate model outputs into actionable strategies.
  • Present findings and recommendations to senior management.

Qualifications:

  • Master’s degree or higher in Statistics, Econometrics, Operations Research, Computer Science, or a related field.
  • 10+ years of experience delivering innovative solutions in fast-paced, data-driven environments, with a proven track record of applying scientific methods to solve real-world problems at scale. 
  • Strong statistical and machine learning expertise, focusing on time series forecasting using classical models and deep learning approaches.  Best candidates are those who have created forecasting or deep learning from scratch.
  • Experience in developing and deploying ML models at scale, utilizing tools like AWS SageMaker or similar platforms.
  • Possess a strong intuition for selecting appropriate methods, discerning when simpler solutions are needed versus complex ones, and capable of leading and conceiving projects in a startup environment.
  • Ability to work in an ambiguous environment, balancing rigor, speed, attention to detail, and a commitment to high-quality results.
  • Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders.
  • Experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL).

Bonus / Preferred Qualifications:

  • Prior experience in the hospitality industry, specifically in revenue management or demand forecasting.
  • Experience in measurement methods, including causal inference, for analyzing algorithmic impact on products.

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/.

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