Data Scientist III
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 or Computer Science;
- Previous experience as a Data Scientist or Machine Learning Engineer (+3 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.
- Dipartimento
- Engineering
- Remote status
- Fully Remote
Data Scientist III
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