If you want to grow with us, your chance is here. For your and our future.

In order to address technological challenges, we are constantly looking for new professionals. Our goal is not only to enrich our staff, but also to build our future together with you.

The moment has come to welcome new members into our family, to be included in the IT & Data-Driven Marketing department, who will fill the role of Data Analyst and Data Scientist.

A new chance for you and a new challenge for us.

• Work with corporate data sources, even in great anount, and organize them into highly efficient structures for subsequent processing or analysis;
• Attribute significance to data: processing of KPIs, dashboards, assessment of levels of aggregation;
• Process statistics for analysis and forecasts;
• Develop reports, including automatic ones, adapted to problems and to available information .

• Degree in Engineering, Physics, Statistics or Mathematics and a strong passion for data analysis and representation;
• Previous experience (at least 1-2 years in the same position);
• Excellent knowledge of database principles – relational, NoSQL, graph – and related query languages;
• Data sensitivity and quantitative orientation aimed at data modeling;
• Knowledge of programming languages for data analysis(Python and related libraries, for example) is an advantage;
• Autonomy, spirit of initiative and problem solving;
• Excellent relational and communication skills;
• Team working skills, preferably in Agile mode.

• Analyze problems and suggest the best representation of both low and high level information;
• Design databases and data exchange and enrichment processes;
• Design and develop AI (machine learning, …) and data analysis solutions;
• Develop predictive and analytical models with ML techniques;

• Degree in Engineering, Physics, Statistics or Mathematics with a strong passion for Artificial Intelligence, Big Data solutions and their representation;
• Previous experience (at least 1-2 years in the same position);
• Excellent knowledge of the most common Machine Learning and data management libraries or frameworks (Scikit-lean, Numpy, Pandas, Spark, Tensorflow, Keras, Theano, Torch, MXNet, etc.) and of one or more programming languages used in this field (Python, R, Scala, …);
• ability to use cloud (aws, google, …) to deploy AI applications;
• Ability to interface continuously with the Data Analyst for data analysis and representation (dashboards, reports, …);
• Good communication skills;
• Excellent relational and teamwork skills, with particular attention to Agile methodologies;