Junior Data Scientist

Guesty is the all-in-one platform for hospitality businesses to automate and optimize every aspect of their operations. With purpose-built technology, industry-wide expertise, and an R&D team of 200+ engineers, Guesty ensures that hospitality businesses can streamline and achieve growth, while delivering the best value to guests. With a complete suite of features and 150+ industry partners, including major booking OTAs like Airbnb, Vrbo, Booking.com, Tripadvisor, Expedia, Hopper, Google Travel, and many more, Guesty is transforming the hospitality industry with innovative solutions.

Today, Guesty has 15 offices and 700+ team members across the globe.

We are looking for a talented and highly motivated Data Scientist to join our team!

As part of your job, you will develop algorithms from scratch for the end user, work closely with various teams at Guesty, and develop innovative models to enrich Guesty’s AI capabilities by using prediction, clustering, supervised and unsupervised learning, and any other type of models and techniques.

Requirements:

Requirements:

B.S. in a data sciences or equivalent quantitative field (Computer Science, Statistics, Engineering, etc.)
Minimum 1 year of relevant hands-on experience as a Data Scientist.
Knowledge of algorithm development technologies and methodologies.
Experience with machine learning and deep learning techniques in production.
Python proficiency, 1+ years experience.
SQL
Team player
Experience working in a cloud environment (GCP, AWS, Azure).
Experience developing with containers, docker, and Kubernetes in cloud computing environments - advantage

Guesty is proud to be an Equal Opportunity Employer. We provide equal employment opportunities to all employees and applicants regardless of any characteristic protected by law.

Responsibilities:

Responsibilities:

Responsible for maintaining the algorithms with continuous improvements and providing quick responses based on the research part.
Assume responsibility for your research project, from initiation and feature design, through gathering insights, to implementing solutions and monitoring their performance.
Responsible for integrating and evaluating new data sources.
Work closely with the product & engineering teams in designing and implementing solutions.
Develop new models, strategies and algorithms.
Identify opportunities for leveraging company data to empower our solutions.