Grupo Cortefiel
hace 1 día

Descripción de la oferta

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.
  • Develop custom data models and algorithms to apply to data sets
  • Present information using data visualization techniques
  • Why Tendam

  • One of the largest customer data repositories in industry : more than 20M Club members
  • Working with multiple different data sources : purchases, marketing campaigns, products, web navigation, apps, etc.
  • Working with cutting edge technologies and building machine learning models to solve real world problems : have a real impact in the business!
  • Ability to immediately test the model results in real pilots : quick time to market!
  • Exposure to agile methodologies
  • Working with senior Data Scientists to accelerate your professional development
  • Working in a challenging and dynamic industry
  • Requisitos

    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
  • Knowledge of a variety of machine learning techniques (clustering, regression, decision trees, neural networks, etc.) and recommendation systems
  • Experience with data visualization tools and packages
  • A drive to learn and master new technologies and techniques
  • Excellent written and verbal communication skills
  • 1 year of industry experience
  • Extra qualifications

  • Experience working with huge amounts of data
  • Familiarity with program-oriented languages (e.g., Java or Scala)
  • Experience with ETL systems
  • Experience with cloud based web services (e.g., AWS)
  • Experience with Deep Learning and Tensorflow
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