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Data Scientist IV (Remote)

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 : 60K –70K + 4K bonus pack

The opportunity :

We are seeking a skilled Data Scientist IV 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, 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 (+6 years);
  • In-depth knowledge of statistics and 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 skills;
  • 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.

    • 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.

    • This position is open to all candidates, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 27 of Legislative Decree no. 198 / 2006, as well as those who identify themselves as non-binary or of any other kind. We are committed to fostering a diverse and inclusive workplace.

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