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Aplicar en 3 minutos) data scientist

León
buscojobs España
Publicada el 1 junio
Descripción

We are growing our Data Science team to help Tendam solve challenging problems from the retail fashion industry. We are now seeking a Data Scientist for a unique opportunity of impacting the way the world experiences fashion.What you will do
* Decompose complex data problems and conduct rigorous analysis and evaluations
* Undertake preprocessing of structured and unstructured data
* Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies
* Design, implement, and maintain ETL processes to ensure data is available, reliable, and ready for analysis and reporting
* Develop custom data models and algorithms to apply to data sets
* Present information using data visualization techniques (Quicksight)
What we are looking for
* Scientific background with computational and analytical skills
* Strong problem-solving skills
* Programming skills with Python and SQL
* Understanding and experience with big data systems, especially with Spark (PySpark)
* Knowledge of a variety of machine learning techniques (clustering, regression, decision trees, neural networks, etc.)
* Experience with data visualization tools and packages
* A drive to learn and master new technologies and techniques
* Excellent written and verbal communication skills
* At least 2 years of industry experience
Extra qualifications
* Experience working with large amounts of data
* Experience with cloud-based web services (e.g., AWS)
* Knowledge and experience with version control systems (e.g., Git)
Why Tendam
* One of the largest customer data repositories in the industry: more than 20M Club members
* Working with multiple data sources: purchases, marketing campaigns, products, web navigation, apps, etc.
* Building machine learning models to solve real-world problems with immediate testing in pilots
* Quick time to market
* Exposure to agile methodologies
* Collaborating with a team of Data Scientists in an environment focused on learning, innovation, and professional development
* Working in a challenging and dynamic industry
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