Deporvillage is one of the biggest European e-commerce companies that is a market leader in its sector.We are handling millions of page views and thousands of orders per day.
For this reason, we have to be smart with data and build the best recommendation systems for our customers.If you want to be part of a team which is using dynamic methodologies, with cutting edge technologies and a collaborative sense, then this job is made for you!At Deporvillage, You Will:Implement, test and apply predictive algorithms by using machine learning and statistical models which will help Deporvillage to create customizable content.Create forecasting models and recommend designs.Interact with cross-functional teams such as engineering, infrastructure, product, marketing among others.Work on projects such as: price elasticity, supply chain forecasting, recommenders, fraud and among othersModern tech stack that leverages AWS, Sagemaker, Bedrock, BigqueryML, Snowflake, Pyspark, etcUse Agile methodologies oriented towards quarter OKRs.What we expect you to bring:+3 years experience as a data scientist/analyst engineer, specially in a e-commerce industryComputer science engineering, mathematical degree, statistics or similar.Experience with statistical software such as R or Python for data mining, manipulation and performing exploratory analysis.Strong knowledge of data structures.Experience in A/B testing.Solid engineering workflows, such as CI/CD.
Test, automate and monitor everything!
Ownership and commitment words are mandatory for us.Empathy and team player is a mustWhat We OfferA young and dynamic working environment.The opportunity to be part of a successful e-commerce company with above-industry-average growth.
Financial Times top 500 growing companies in Europe.Competitive salary based on experience.Permanent contract.Flat hierarchy and open communication.Flexible working hours.Tax-free benefits (ticket restaurant, kindergarten and transport).