Data Scientist

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.

Activities

• 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