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.
Take a look at our 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.