Data Scientist Staff Engineer I (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 180 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:
€65–80K + 12K bonus pack
💼The opportunity:
We are seeking a skilled Data Scientist Staff Engineer I 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 (+10 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:
- Full Remote or hybrid working in our offices: Milan, Turin, Padua, Bologna, Catania and Rende;
- Real work life balance;
- Training monthly budget (time and money);
- A structured career path with clear expectations and salary for each level;
- Support of a buddy in the first week of work;
- A coach as a guide in choosing the most suitable experiences for your ambitions;
- Benefits and corporate welfare programs: company prizes and welcome pack with all the equipment you need to work;
- Agile Nomads Experience: opportunity to work for 2 weeks abroad;
- Referral bonus, if you bring people as talented as you;
- The opportunity to attend one conference per year;
- A company rated 4.8 out of 5 for employee satisfaction on Glassdoor and certified as a Great Place to Work
- 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.
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.
- Dipartimento
- Engineering
- Remote status
- Fully Remote
About Agile Lab
📊⚙️ Shaping Data Engineering Strategy and Platform Enablement for Enterprise Organizations
Data Scientist Staff Engineer I (Remote)
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