Lead Data Scientist

Sky

  • Milano
  • Tempo indeterminato
  • Full time
  • 9 ore fa
We’re looking for a passionate and talented Lead 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 topicsActivitie
  • sApply 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 source
  • sDevelop 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 productio
  • nManage and teach more junior data scientis
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Required Qualificatio
  • nsA Master’s Degree or Ph.D in a highly quantitative field (Statistics, Computer Science, Machine Learning, Data Science, etc.) or equivalent experien
  • ceAt least 5 years of industry experience in data scien
  • ceFluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, supervised, unsupervised and semi-supervised modelling technique
  • s.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, PyTorc
  • h)Use of version control systems (like gi
  • t)Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environme
  • ntStrong written and verbal communication skil
  • lsProficiency in both Italian and English is mandato
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Nice to have Qualificati
  • onsDemonstrable 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 p
  • lusExperience with GCP resources, object-oriented programming and is a p
  • lusWorking knowledge of MLOps tools (Airflow, Kubernetes) and visualization tools (like Tableau) is a p
  • lusFamiliarity with digital marketing or advertising is a p
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Sky