Data Scientist

• Python, Numpy, Pandas, Machine Learning, Git

The ideal candidate must be an outstanding professional with previous experience as Data Scientist and, preferably, a Mathematics background.

Tasks:

• 
  Develop and engineer prototypes in Artificial Intelligence (AI) for the analysis of large amounts of data, oriented to the development of behavioral models for multiple applications (i.e: Risk, CRM, anti-fraud)
• Collaborate with Data Engineers and Researchers for the application of state-of-the-art techniques in the research and development of prototypes and AI applications

Skills:

• 1-2 years of experience as a Data Scientist
• MSc Degree in Computer Science, Statistics, Physics, Mathematics, or similar field
• Previous experiences in Machine Learning (ML) and optimization of scientific computing libraries
• Strong working knowledge of Python and data science libraries (Numpy, Pandas, and experience in Pyspark development)
• Ability to rapidly prototype ideas/solutions, develop critical analyzes, and use creative approaches to solving complex problems
• Nice to have: experience in code versioning systems (git)
• Attention to detail and excellent communication skills
• Good communication and interpersonal skills
• Fluent in both Italian and English