R&D Data Scientist Internship
3 settimane fa
Description Our R&D engineers and scientists develop breakthrough technologies that change the way the world works and industries do business. We constantly push the limits of convention while retaining our focus on delivering solid returns for our customers and shareholders.
With this internship, you will contribute and support the team to achieve successful results in Research & Development projects for our Transformer Business Unit in Monselice (PD).
The internship will be mainly in presence at our Monselice Technology Center office; therefore, we prefer candidates who live near this location or have a car to reach our office easily.
Job Description: We are seeking an engineer or data scientist student to join our R&D team for an internship. The successful candidate will be engaged in the development of new optimization tools based on ML/AI, including search and data entry. The preferable candidate will have a background in numeric calculation, statistics, or electrical/mechanical engineering.
Your Responsibilities: Research and implement appropriate ML algorithms and tools.Select appropriate datasets and data representation methods.Extract and manage data from different databases.Resourcefulness in carrying out data collection activities.Resourcefulness and creativity in developing ML models that best fit the involved datasets.Interact and collaborate with colleagues from the Italian team, Global Technology Centers, and factories worldwide.Learn how to use specific software and simulation tools used in the department.Your Background: A Master's degree in Data Science (or similar) with strong competencies in Machine Learning and AI. We are also interested in a master's graduating student who wants to develop a thesis on topics related to ML/AI.Knowledge of database access & queries (e.g., SQL server) environment.Knowledge of R Studio and/or Python environment and main ML data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).Experience designing and debugging neural networks will be considered a plus.Proven experience in ML techniques applicable to real-world problems with a limited amount of data will be considered a plus.Good knowledge of MS Office, especially Excel and PowerBI (or equivalent).Good knowledge of Italian and English.
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