Remote ML Data Engineer - Revenue Management System

Description:

• As a Data Engineer at Cloudbeds, you will be responsible for building and implementing end-to-end features and functionality to help lodging customers optimize their revenue through informed pricing decisions.
• You will work on features that utilize simple heuristic data as well as algorithmic or machine learning components.
• Collaborate with product and engineering teams to identify areas for improvement and develop solutions to drive revenue growth for hotels.
• Develop and implement machine learning models to optimize revenue opportunities for customers.
• Build and maintain data pipelines, analyze data sets, and design experiments to test new features and improvements.
• Communicate findings and insights to stakeholders across the organization.

Requirements:

• 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.
• Strong knowledge of SQL and experience working with large datasets.
• Proficiency with AWS or other cloud computing platforms.
• Experience implementing machine learning models using Python and familiarity with data science frameworks like Pandas and Scikit-Learn.
• Strong problem-solving skills, creative thinking, and application development skills.
• Excellent communication skills and ability to collaborate effectively with cross-functional teams.

Benefits:

• Embrace Remote First, Remote Always culture.
• Open vacation time, flexible paid holidays, and company-wide mental health days.
• Access to professional development, including manager training, upskilling, and free access to LinkedIn Learning and other platforms.
• Flexible working schedules and the opportunity to travel and work remotely.
• Equal Opportunity Employer promoting diversity and inclusion.
• Reasonable accommodations provided for individuals with disabilities during the hiring process.
• Award-winning company recognized for Best Places to Work, Best PMS, Technology Fast 500, Fastest Growing Companies, Best Startup Employers, and Best Remote Companies to Work.