Senior Data Scientist

About Wenrix

Wenrix is the next generation of airfare optimization.

We are a young and fast-growing startup in the fields of fintech for travel companies.

Our AI-driven smart prediction technology helps our customers generate new revenue streams from their air volume. By using our products, we can ensure that tickets are issued at the best possible time and at the best price.

Our research department specializes in crafting the algorithms and techniques that drive Wenrix’s products and revenues.Wenrix is seeking a Senior Data Scientist that has vast experience with Machine Learning to join our innovative team.In this position, you'll work on designing and developing from scratch AI algorithms tailored to the core objectives of the business.

Also, you'll work on solving problems that require a sharp analytical mindset based on data analysis and statistical tools.

‍What Will You Do?

• Conduct hands-on research, analyze and interpret massive airfare related data sets on a daily basis
• Identify opportunities for leveraging our data to empower Wenrix solutions and suggest new products
• Generate significant outcomes in revenue by employing prediction AI and statistical models within the Wenrix product suite
• Understand the architectural constraints of Wenrix's systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation
• Work in a start-up environment both independently as well as in a team

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What You Bring

• +7 years of experience in machine learning and related fields preferably with experience with tabular data
• Proficiency in Python programming language
• Extensive relevant prior experience in solving analytical problems using quantitative approaches
• Prior experience developing end to end ML/DL pipelines in production enviornments (EDA, Training, Inference, Monitoring)
• BSc in Mathematics, Statistics, Physics, Computer Science, or a related field.
• Advanced degree (MSc or higher) in Mathematics, Statistics, Physics, Computer Science, Engineering or a related field is considered an advantage