Job Description

Would you like to get involved and join a dynamic company?

You are in the right place!

Contents.com is looking for an enthusiastic Data Scientist to join our team.

Key Responsibilities

• Design, test and implement ML models;
• Design and implement machine learning pipelines and models, including Ensemble methods, Recommender System, NLP, and Deep Learning;
• Manage and implement Recommender System algorithms, such as Non-personalized Recommender, Content-based Recommender, Collaborative Filter, etc.
• Develop and implement real-time ML models, exposing ML results through API;
• Design and conduct tests of new projects to analyze and monitor the results of our products and websites;
• Collaborate with our software engineers and vendors to integrate ML algorithms into our applications;
• Develop and apply end-to-end NLP/NLG methodologies for content creation.
  
  

• You have a degree in data science or a STEM field such as statistics, mathematics, physics;
• You have experience in data science and data analysis, including statistical analysis, A/B testing, and conducting experiments in large-scale environments;
• You are familiar with ML/NLP applications;
• Experience with Colab, Jupiter, Spyder, PyCharm;
• You are experienced in developing NLG algorithms;
• You have excellent programming skills and understanding of software architectures;
• Excellent knowledge of Python;
• Knowledge of NLP models such as BERT and Python libraries such as Tensorflow, PyTorch, Transformers;
• You have an understanding of the fundamentals of REST APIs;
• You have an independent spirit and can manage multiple projects simultaneously;
• You know how to express yourself wisely, clearly, and with just the right touch of charisma.
  
  

• Attention to people. For this reason, also this year, we are a Great Place to Work, ranked among the Companies where you work Best in Italy!
• Young, dynamic, and proactive working environment.
• Hybrid work. We do everything we can to adapt to flexibility.
• Fun. Unexpected team building events, Family and friends days, and happy hours with colleagues, to name a few of the initiatives.