Data Scientist Ii (On Site - Rome)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7irw0b

**Agile Lab** is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices. Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures. With a highly skilled team of over 160 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation. Take a look at our **Handbook**to discover our core values and processes. **RAL**: €38.5K - €48.5K **The opportunity**:
We are seeking a skilled **Data Scientist II** to join our team: you should have in-depth knowledge of statistics, classical machine learning. Experience with timeseries analysis is required. Familiarity with MLOps practices and collaborative software development workflows is considered a plus. **Responsibilities**: - Analyzes business requirements and determines a suitable solution autonomously, evaluating if an ML-based solution is feasible;
- Good understanding of business requirements;
- 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**: - Essential working on site**:Rome, Italy;**: - Bachelor’s degree in Computer Engineering or Computer Science;
- Previous experience as a Data Scientist or Machine Learning Engineer (+2years);
- 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**: - 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;




- _Agile Nomads experience:_ opportunity to work for 2 weeks abroad;
- The opportunity to attend one conference per year;
- Inclusive environment where you can be who you really are;
- Stimulating environment oriented to growth, both professional and personal. **Extra benefits** **For RELOCATED WORKERS**_(living more than 1h by car or 1h30 by public transport from Rome)_**
- **Accommodation**
Agile Lab provides company-arranged housing in Rome.
- **Meals**
Meal expenses covered.
- **Home Visits**
Reimbursement of travel costs to your hometown (only for city of residence).
- **Transportation to Office**
Covered travel costs to reach the office.
- **Daily Allowance**
€46.48 per working day.
- **Relocation Support**
1 additional working day off to manage your move. **For COMMUTERS**_(living less than 1h by car or 1h30 by public transport from Rome)_**
- **Meals**
Up to €30/day reimbursement for lunch (no meal vouchers).
Alternatively: up to €7/day grocery reimbursement (for meals eaten at the office).
- **Transportation**
Mileage reimbursement for using your own car to: - reach the office directly, or
- meet colleagues at a designated pickup point (for company car rides). **How we work**: - We don't like hierarchies: we work as a team;
- We don't like bureaucracies; we prefer sense of responsibility;
- We like data, certainly, so anything that is measurable;
- We want to make a positive change in our industry;
- Empathy, humility, collaboration, and willingness to challenge ourselves are the basis of our work.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7irw0b