ML Data Engineer - Revenue Management System
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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.
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
ML Data Engineer - Revenue Management System
To see similar active jobs please follow this link: Remote Development jobs
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.
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