Winglet.io is the most powerful AI-engine dedicated to airfare management and business travel savings. Winglet collects more than 1Tb of data daily to deliver cutting edge on-demand analytics and recommendations. Our technology enables travel agencies, corporations and software companies to offer the best services for the business travel management.
Winglet.io analyzes Tb per day to monitor airfares fluctuations and patterns. Built-in Scala, Spark and Python, our data pipe collects relevant information and blends it with our homemade recommendation engine to deliver tailored-made analysis on Tableau, CSV streaming or API.
About the role
As a member of our data science team, you will focus on delivering powerful insights through data:
– Build the future versions of our recommendation engine
–Dig into data to deliver unexpected trends and improvements
–Evaluate the accuracy of recommendations
– Build a data model to provide external and internal BI reports on Tableau software
–Work closely with the core data team to build lasting solutions to our data modeling
– MSc or higher degree in computer science, statistics, mathematics or another quantitative discipline
–Ability to play with data using PySpark or Python and R
–Experience with analytics & visualization tools (SQL, Tableau, ggplot/matplotlib…)
–Self-motivation to discover and dig into air industry data world
–Experience performing analysis with large datasets is a plus
–Experience on Spark, Scala, SQL and Tableau software is a plus
Stack : Spark, Scala, Python, SQL, R, Tableau software