Data Scientist Ii

3 giorni fa

Milano, Italia Agile Lab A tempo pieno

**Agile Lab** is a top-tier data engineering firm since 2013 and is now employing 120+ talented data engineers and data scientists in a remote-first culture and with an international mindset.

We are looking to hire a talented **Data Scientist** (level II) to develop ML solutions for internal products and for our customers.

**Salary**: 37.5K - 47.5K

**Responsibilities**:

- Analyzes business requirements and determines a suitable solution autonomously, evaluating if an ML-based solution is feasible
- Develops and fine-tunes models through reproducible experiments
- Builds ML solutions incorporating software engineering quality standards (SDLC) and data engineering best practices
- Participates in the technical design of features with guidance
- Understands and optimizes and monitors model performances
- Prioritizes tasks with autonomy based on requirements and proper context

**Requirements**:

- Bachelor’s degree in Computer Engineering or Computer Science. Previous experience as a Data Scientist or Machine Learning Engineer (1-2 years)
- In-depth knowledge of statistics, classical machine learning.
- In-depth knowledge of at least one machine learning framework such as Tensorflow, PyTorch or scikit-learn
- Good Knowledge of programming languages including advanced Python patterns
- Familiarity with software lifecycle practices (testing, release, deploy) and git-based workflows
- Knowledge of MLOps practices
- Ability to explain ML results and limitations to tech and non-technical audiences
- Good project management skills
- Good communication skill
- Languages: both Italian and English
- Team Player

**We** offer:

- Remote or smart working and work life balance
- Training monthly budget
- A structured career path with clear expectations and salary for each level
- Benefits and corporate welfare programs: meal vouchers, health fund provided, prizes, welcome pack with all the equipment you need to work
- The opportunity to attend one conference per year
- Stimulating environment oriented to growth, both professional and personal.

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