Data Scientist Specialist
4 settimane fa
The RGI Group is seeking a highly skilled Data Scientist Specialist to join its R&D Innovation Department. As part of the Data Science & ML team, you will work closely with experts in the field and report to the BI & Data Science Lead.
The main activities of this role 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.
Responsibilities
- Collaborate with data scientists, engineers, and stakeholders to develop a clear understanding of machine learning objectives and project goals.
- Develop and optimize LLM-based applications, focusing on statistical learning algorithms and predictive modeling.
- 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.
Requirements
- At least 1-2 years' experience in a Data Scientist role.
- Proficiency in Python programming language and extensive use of its ecosystem, including Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch/Keras, and Visualization tools.
- Experience with LLM libraries (LiteLLM, LlamaIndex) and 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 model deployment as a REST service using FastAPI.
- Fluent knowledge of English and Italian.
Nice to Have / Plus
- Knowledge in ETL tools (AirFlow) and management of databases.
- Experience with R and related packages (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 (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 of learning and delivering innovation-based products to a wider audience.
- Effective Communicator.
- Results-Driven.
- Ethical and Compliant.
Education
Bachelor'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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