Responsibilities
Esperienza, qualifiche e soft skill: possiede tutti i requisiti per avere successo in questa possibilità? Lo scopra qui sotto.

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- Engage in collaborative efforts with the business teams to comprehend data requirements

- Develop robust architectures and data models

- Enhance business processes managing data and AI models

- Build and maintain robust data pipelines

- Maintain and improve existing production processes

- Contribute to R&D; initiatives to discover and integrate solutions

Requirements

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- Master’s Degree in Computer Science, Data Science, or related field

- 5-7 years working experience in Data Science/Engineering

- Solid experience handling and manipulating large datasets

- Knowledge in SQL and Oracle databases

- Proficiency in Python and its core data science libraries

- Knowledge in designing, developing and validating Machine Learning models





- Experience using Power BI for advanced reporting

- Fluency in Italian and English, written and spoken

- Excellent communication and storytelling skills

- Demonstrated ability to work effectively as part of a multidisciplinary team

- Willingness to be versatile and actively participate in different projects

Core Competencies

Demonstrates expertise in Data Science and Engineering, with a strong focus on developing data architectures, managing large datasets, and designing Machine Learning models. xysqume Proficient in SQL, Python, and Power BI, with excellent communication skills in both Italian and English.

Tools & Technologies

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- Power BI

- SQL

- Oracle Databases

- Python

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📌 Data Engineer (Milano)
🏢 Jobtailor
📍 Milano