Data Scientist (Interim)/6288 en Madrid

Development of statistical mathematical models that allow a better knowledge of the reality of Action Against Hunger in any of the areas of action, description of reality, explanation, analysis of causes, prediction and prescription.

• Lead a statistical function, to transform data into information and information into insight.
• Gathering, cleaning, transforming, validating and modelling data with the purpose of drawing conclusions based on evidence and presenting them in reports.
• Support business analytical capacity and consequently our response operations and help Action Against Hunger
• Support to develop a reputation for strong, appropriate, and well-informed human programs.

• Technical expertise regarding data visualization, modelling, multivariate analysis, data mining and sampling
• Skills in data visualization with good knowledge in applying the appropriate visual language to communicate information
• Knowledge in machine learning, artificial intelligence and Cognitive systems is desirable
• Experience working with large datasets to develop innovative reporting approaches leveraging internal and external data sources.
• Desirable experience in Big Data – Hadoop, Data Science and Computing

Incorporation into a multicultural, professional and innovative organization and possibility of participating in projects of high social impact.

• 6 months interim Contract.
• Based in Madrid.
• Competitive remuneration based on the candidate's worth.
• Access to flexible remuneration plans (medical insurance, transportation, childcare tickets and food).
• Professional career adapted to you where talent and motivation are recognized.
• Continuous training in both technical skills and soft skills.
• Reconciliation between personal and professional life, with the option of flexible hours, intensive working hours and the possibility of taking advantage of our teleworking program. 
• 25 working days of holidays per year with the possibility of organizing them at your discretion and even taking half days.