Data Scientist II

Overview Spontaneous application: the position is currently closed, but don't miss the chance to submit your application We will get back to you as soon as the selection process reopens, if your profile matches our needs. 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 160 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation. 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 (+2 years); 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. Candidates who successfully complete our selection process will be included in the Agile Lab ranking, valid for six months. 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. #J-18808-Ljbffr