Trabajo Data Scientist GIT

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 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 1 year of industry experience Extra qualifications Experience working with huge amounts of data Experience with cloud based web services (e.g., AWS) Knowledge and experience with a version control system (e.g. Git). 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 Ubicación: Madrid zona norte (accesible en metro, cercanías y autobuses urbanos) Horario: jornada flexible de lunes a jueves de 7:30-9:30h y salida de 17-19h y viernes jornada intensiva que se mantiene todo el año de 7:30-9:30h y salida de 13-15h. Contrato indefinido. Incorporación mes de Septiembre.