At Mango, we dress everything we do with passion. Originating in Barcelona and present in over 120 countries, we inspire the world with creativity, innovation, and authenticity. Our multicultural team is the engine of our success. We take pride in taking fashion beyond boundaries, connecting our unique style with people around the globe. ABOUT THE TEAM As a Data Scientist, you will be part of the team shaping Mango's data intelligence, strategy, and architecture. The Advanced Analytics team develops Artificial Intelligence algorithms aimed at optimizing the most challenging processes and decisions within the retail industry. You will develop cutting-edge data science and machine learning solutions to enable highly innovative use cases in the retail sector, such as geoanalytics, automation, omnichannel personalization, the omnichannel store, 360° consumer view, and real-time decision-making. In your daily tasks... * You will develop advanced machine learning algorithms to improve our core business processes and decisions. * You will work with a solid engineering approach (e.g., continuous integration, test automation, etc.) within a strong team of data engineers and data scientists. * You will use Spark to scale your models and leverage MLOps tools to deploy them into production. * You will work with AWS services such as S3, Lambda, DynamoDB, EC2, etc. * You will work with a solid engineering mindset within a team composed of Data Scientists, Data Engineers, Data Architects, and full-stack developers. ABOUT YOU: * You are currently pursuing a degree in Computer Engineering, Mathematics, Statistics, or Data Science with strong academic performance. * You have knowledge of Data Modelling and SQL. * You have programming skills (or ability to quickly learn) in Python, R, or Scala. YOUR BENEFITS: * Become part of an international company undergoing full technological transformation, as a member of Mango's Data & Advanced Analytics team. * 6 months of paid internships. * Free company transportation from Barcelona and Vallès to our central offices. * 50% remote work possibility. Taking Fashion Further