Senior Data Scientist for AI and Machine Learning solutions

  • ROME
  • Applications have closed

We are looking for Senior Data Scientists with good knowledge of the following technologies:

  • Python 3.8 or higher
  • scikit-learn framework
  • Pandas and/or Numpy framework
  • Pytorch and/or keras and/or tensorflow framework
  • Framework spacy and/or nltk
  • Kubernetes and Docker
  • Knowledge of versioning and mlops tools (git, ci/cd, etc.)
  • Knowledge of the main Python development tools (pip, poetry, uv)
  • Knowledge of the main testing tools (pytest)
  • Knowledge of the main tools for data manipulation and querying.
  • Knowledge of model registry (mlflow) and inference servers (mlserver, kserve)
  • Demonstrated experience with state-of-the-art Machine Learning techniques
  • Demonstrated experience with state-of-the-art NLP and/or Computer Vision techniques
  • Knowledge of agile or data science software work methodologies (CRISP-DM)
  • Knowledge of data labeling platforms (label-studio, doccano)

The ideal Senior Data Scientists must have the following requirements:

  • Previous experience of at least 4 years
  • Excellent communication and interpersonal skills
  • Ability to work in a team
  • Flexibility
  • Proactivity
  • Motivation
  • Problem solving
  • Excellent analytical skills
  • Excellent critical observation skills
  • Ability to write technical reports
  • Ability to read scientific articles
  • Good knowledge of English

Why choose nesea for your career as a data scientist?

nesea Ascolto in Azione is an Innovation Consulting firm that supports companies and organizations as a strategic partner in their digital transformation and sustainable growth journeys. We operate in the ICT, Management, Education, and Innovation sectors, designing and implementing high-impact, innovative solutions for national and international clients.

We believe in the value of people as the main driver of innovation. Our team is made up of skilled and motivated professionals who share a passion for continuous learning, collaboration, and the conscious use of emerging technologies.