Job description

  • 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

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