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 (OR) to join our team (remote).

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 of operations research, statistics, machine learning;
In-depth 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 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.

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.

Profile of Green Employers

New Jobs

Data Scientist (OR) III Engineering Milano