Applied Researcher

About Wenrix

Wenrix is the next generation of airfare optimization.

We are a young and fast-growing startup in the field 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 driven researcher with a passion for exploration, a boundless curiosity, and a talent for thinking outside the box to join our innovative team.

In the role of Applied Researcher, you will be tasked with finding new solutions to our existing and visionary products. This position demands a dynamic individual capable of solving complex optimization problems and innovating within various domains through data analysis, algorithm development, and creative problem-solving.

What Will You Do?

• Engage in rigorous research, applying your analytical skills to develop and fine-tune algorithms that address real-world challenges across diverse data sets.
• Generate significant outcomes in revenue by employing detailed analysis and statistical modeling.
• Explore and exploit new methods for leveraging data to enhance and propose novel Wenrix’s solutions and product ideas.
• Navigate the architectural nuances of Wenrix’s systems, collaborating closely with cross-functional engineering and product teams to evolve prototypes into scalable, robust solutions.
  
  

• Solid foundation in diverse algorithm development and data analysis with a knack for quick domain acquisition and feature/product innovation.
• Demonstrated ability of solving real-world problems using quantitative and analytical approaches.
• BSc in Computer Science, Mathematics, Statistics, Physics or a related field.
• 5+ years of experience in the tech industry.
• Strong problem-solving abilities with a creative approach to new challenges.
• Ability to quickly understand and innovate within new domains, generalizing concepts to propose new features or products.
• A will to thrive in a startup environment by having autonomy while being a valuable team player to drive project success.
• Experience in areas such as cybersecurity, fraud detection, data scraping/reverse engineering is considered - advantage.
• An advanced degree (MSc or higher) in Computer Science, Mathematics, Statistics, Physics or a related field- advantage.
• Experience with Python3 and relevant libraries (pandas, sklearn) is required. Familiarity with modern data tooling (DBT, SQL) and emerging technologies (LangChain, prompt engineering)- advantage.