Data Scientist Specialist, Milan Milano

Data Scientist Specialist, Milan
Milano
Lombardia, Milano

Social network you want to login/join with:The candidate will work in the RD Innovation Department, as part of the Data Science ML team with other experts in the field and will report to the BI Data Science Lead. The main activities required of the selected candidate aim at consolidating and widening the general knowledge and technological know-how of RGI in the field of Artificial Intelligence / Machine Learning applications and Predictive Analytics. ResponsibilitiesWork closely with data scientists, engineers, and various stakeholders to grasp the project's goals and develop a clear understanding of machine learning objectives;Develop and optimize LLM-based applications;Develop and implement advanced machine learning algorithms for predictive modeling, with a particular emphasis on statistical learning algorithms;Carry out activities related to data extraction, cleaning, manipulation, validation, storage, and processing;Collaborate with cross-functional teams, document findings, and ensure compliance with industry regulations;Model Deployment, Model Management, and Data Drift Monitoring. ExperiencesAt least 1 – 2 years' experience in a Data Scientist role. Technical SkillsProficiency in the Python programming language and extensive use of its ecosystem, including: Data manipulation and analysis: Pandas, Polars, NumPy; Machine Learning: scikit-learn, XGBoost, TensorFlow/PyTorch/Keras; Visualization: Matplotlib, Seaborn, Plotly; Statistical Analysis: Statsmodels, SciPy; Version control: Git, GitHub. Experience with LLM libraries (LiteLLM, LlamaIndex, …). Experience with LLM workflows: Embeddings, RAG, fine-tuning, …. Proficiency in complex querying construction (SQL) and knowledge of database normalization and data modeling concepts. Familiarity with cloud-based platforms, such as AWS, and with model deployment as a REST service using FastAPI. Fluent knowledge of English and Italian. Nice to Have / Plus:Knowledge in ETL tools (e. g. , AirFlow) and management of databases is a plus. Experience with R and related packages (e. g. , Shiny). Use Docker to package the FastAPI application along with its dependencies for easy deployment. Leverage Pydantic's data validation capabilities to ensure incoming requests adhere to expected formats. Front End prototyping libraries (e. g. , Streamlit, Gradio). Proficiency in French/German/Spanish is considered a plus. Personal Characteristics:Analytical Thinker. Strong team spirit and an open, cooperative culture, promoting a positive team environment. Attention to detail, passion for processes, systems, and data mining. Willingness to learn and deliver innovation-based products to a wider audience. Results-Driven. Ethical and Compliant. EducationBachelor's or Master's Degree in a quantitative field (Physics, Maths, Stats, Computer Science or Computer Engineering, Economics) or equivalent experience.

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