**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 130 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**: 47.5K - 60.5K **The opportunity**:
We are seeking a skilled **Data Scientist III** to join our team. **Responsibilities**: - Analyzes business requirements and determines a suitable solution autonomously, evaluating if an ML-based solution is feasible;
- Mentors junior engineers;
- Strong understanding of business requirements;
- Skills in Stakeholder and Expectations management;
- Challenges the team processes, looking for ways to improve;
- 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, Math, Computer Science or similar;
- Previous experience as a Data Scientist or Machine Learning Engineer (+3 years);
- Good Knowledge knowledge of operations research, statistics, machine learning;
- In-Depth Knowledge knowledge of at least one operations research framework such as or-tools, pyomo, gurobi, cplex;
- Good Knowledge of programming languages including advanced Python patterns;
- Familiarity with software lifecycle practices (testing, release, deploy) and git-based workflows;
- Knowledge of Software Engineering practices;
- Ability to explain OR 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 lavoro da remoto 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.

📌 Data Scientist Iii (Remote) (Milano)
🏢 AGILE LAB
📍 Milano