ML Data Engineer - Revenue Management System

As a Data Engineer, you will build and implement end-to-end features and functionality that allow our lodging customers to guide their pricing strategy. Some of these features will make use of simple heuristic data while others may involve some algorithmic or machine learning components. You will work closely with our product and engineering teams to identify areas of improvement and develop solutions to drive revenue growth for the hotels our customers operate. You will be responsible for the end-to-end development of our revenue management application.

Location: London, UK (Hybrid)

What You Will Do:

• Build and implement end-to-end features and functionality that allow our lodging customers to optimize their revenue, through making informed pricing decisions. Some of these features will make us of simple heuristic data while others may involve algorithmic or machine learning components
• Where needed, develop and implement machine learning models to optimize revenue generating opportunities for our customers
• Collaborate with cross-functional teams to identify areas for product improvement
• If needed, figure out ways to structure data to make it easy to analyze and apply learning algorithms
• Build and maintain data pipelines to extract and transform data from various sources
• Analyze data sets to identify trends and patterns that inform product development and marketing strategies
• Design and conduct experiments to test the effectiveness of new features and improvements
• Communicate findings and insights to stakeholders across the organization, including product, engineering, and customer success teams

You’ll Succeed With:

• Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Data Science
• 3+ years of experience in a data engineering role, preferably in the hospitality industry
• Expertise deploying machine learning models on the Cloud at scale, e.g. using MLFlow
• Expert level knowledge of SQL and experience working with large datasets
• Expertise with AWS or other cloud computing platform
• Experience implementing machine learning models using Python, including familiarity with popular data science frameworks such as Pandas, Scikit-Learn
• Strong problem-solving skills and ability to think creatively about complex business problems
• Strong application development skills
• Excellent communication skills and ability to collaborate effectively with cross-functional teams