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Data Scientist

  • Sky
  • Milan, Monte Penice
  • 19/04/2024
Full time Information Technology

Job Description

We’re looking for a passionate and talented Data Scientist to join our team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of topics.

  • Apply data workflow tasks as extraction, mining, preparation, quality control, KPI optimization, modelling, validation and business insight consideration. 
  • Apply advanced analytics techniques in a big data paradigm considering multiple data sources
  • Develop and deploy machine/deep learning models applied to cross-functional use cases to increase customer value or operational efficiency. 
  • Manage multiple data science projects from start to finish – handle communications with stakeholders, design the approach, develop or/and oversee development of the models and work closely with machine learning engineers to deploy the code in production 
  • Manage and teach more junior data scientist 

Required Qualifications 

  • A Master’s Degree or Ph.D in a highly quantitative field (Statistics, Computer Science, Machine Learning, Data Science, etc.) or equivalent experience 
  • At least 2 years of industry experience in data science
  • Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, supervised, unsupervised and semi-supervised modelling techniques. 
  • Strong working knowledge on programming languages such as Python, SQL, R, common data science libraries (Pandas, Numpy, Scikit-learn, Dask, etc.) and at least one of the deep learning oriented APIs (Keras, TensorFlow, PyTorch) 
  • Use of version control systems (like git) 
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment 
  • Strong written and verbal communication skills 
  • Proficiency in both Italian and English is mandatory 

Nice to have Qualifications 

  • Demonstrable working experience and theoretical deep knowledge of state-of-the-art models and methodologies for Natural Language Processing and Computer Vision is also a big plus 
  • Experience with GCP resources, object-oriented programming and is a plus 
  • Working knowledge of MLOps tools (Airflow, Kubernetes) and visualization tools (like Tableau) is a plus
  • Familiarity with digital marketing or advertising is a plus