Data Scientist Ii
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**: € 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**:
- 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**:
- 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;
- _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.
**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.
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