Data Scientist for Natural Language Processing and Machine Learning

3 settimane fa

Ispra, Lombardia, Italia Uni Systems A tempo pieno
About the Role

We are seeking a highly skilled Data Scientist to join our Uni Systems team in Ispra, Italy. As a key member of our UniQue Ispra team, you will play a crucial role in developing innovative solutions that drive business growth.

Key Responsibilities
  • Develop and maintain software applications in the field of Natural Language Processing (NLP) and Machine Learning (ML).
  • Train custom machine learning / deep learning models based on structured and unstructured data.
  • Select features, build and optimize classifiers using machine learning techniques; perform data mining using state-of-the-art methods.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Design the IT architecture for solutions in the NLP / ML / AI fields, coordinating its implementation considering master- and meta-data management concepts.
  • Analyse data architecture for consistency, completeness, accuracy and reasonableness.
  • Contribute to drafting and writing of scientific publications, technical reports, data briefs and country-specific analysis.
  • Communicate results to technical and non-technical audiences through presentations and reports.
Requirements
  • Masters degree in Economics, Political Science or related fields with strong proficiency in machine learning and/or natural language processing, or Computer Science with demonstrated knowledge in economics and/or social science.
  • Specialisation in statistics, machine learning and/or natural language processing.
  • Strong proficiency in R, experience in relevant machine learning and data processing libraries (e.g., caret, tidymodels, dplyr). Good knowledge of Python, particularly in machine learning and data processing libraries (e.g., scikit-learn, pandas, SpaCy, NLTK).
  • Good understanding of GIS tools and geospatial data analysis.
  • Experience with dynamic reporting and interactive visualization tools, such as Plotly, Shiny, or other similar frameworks.
  • Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
  • Excellent knowledge of Data Management.
  • Good knowledge of Linux, Unix and Bash.
  • Knowledge of query languages, such as SQL and information extraction.
  • Experience with big data analysis, including structured and non-structured databases.
  • Good applied statistical skills, such as distributions, statistical testing, regression, etc.
  • Data-driven mindset.
  • Ability to understand, speak and write English (B2).
What We Offer
  • An estimated annual salary of approximately €60,000 - €80,000.
  • A dynamic and innovative work environment with opportunities for professional growth and development.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • The opportunity to work on cutting-edge projects and collaborate with a talented team of professionals.

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