Data Scientist I

OverviewSpontaneous application: the position is currently closed, but don't miss the chance to submit your applicationWe will get back to you as soon as the selection process reopens, if your profile matches our needs.Agile Labis a company founded in **** 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 ourHandbookto discover our core values and processes.??RAL:€30K - €40K??The Opportunity:We are looking for a motivated and proactiveJunior Data Scientistto join our team.The ideal candidate has a strong foundation in statistics and classical machine learning or a significant exposure to deep learning, combined with a genuine passion for continuous learning and problem-solving.In this role, you will have the opportunity to take ownership of well-defined components of data science projects, working with the support of senior colleagues to deliver tangible impact.Familiarity with software engineering practices is considered a strong plus.ResponsibilitiesCollaborate with the team to analyze business requirements and contribute to designing suitable ML-based solutionsDevelop and fine-tune models through reproducible experiments, taking ownership of your assigned features from data preparation to evaluation, with guidance from senior team membersContribute to building ML solutions by applying and learning the team\'s software engineering quality standards and data engineering best practicesProactively research and suggest new tools, libraries, and techniques to improve the team\'s workflow and model performanceEffectively manage assigned tasks and project components, proactively communicating progress, challenges, and dependencies to ensure alignmentParticipate in monitoring and analyzing the performance of models in productionRequirementsMaster's degree in Computer Science, Engineering, Physics, Mathematics, or a related fieldMinimum of 6 months of relevant experience (including significant internships, thesis, or university projects) up to 2 years in a similar roleGood knowledge of programming languages including advanced Python patternsFamiliarity with git-based workflowsInterest in MLOps practices and a desire to learn themGood communication skills, with the ability to clearly explain your work and findings to the technical teamLanguages: both Italian and EnglishA collaborative spirit and a strong desire to contribute to the team\'s successBenefitsTraining monthly budgetA structured career path with clear expectations and salary for each levelBenefits and corporate welfare programs: meal vouchers, health fund provided, prizes, welcome pack with all the equipment you need to workAgile Nomads experience: opportunity to work for 2 weeks abroadThe opportunity to attend one conference per yearInclusive environment where you can be who you really areStimulating environment oriented to growth, both professional and personalExtra benefitsFor RELOCATED WORKERS(living more than 1h by car or 1h30 by public transport from Rome)??AccommodationAgile Lab provides company-arranged housing in Rome.??MealsMeal expenses covered.??Home VisitsReimbursement of travel costs to your hometown (only for city of residence).??Transportation to OfficeCovered travel costs to reach the office.??Daily Allowance€***** per working day.??Relocation Support1 additional working day off to manage your move.For COMMUTERS(living less than 1h by car or 1h30 by public transport from Rome)??MealsUp to €30/day reimbursement for lunch (no meal vouchers).Up to €7/day grocery reimbursement (for meals eaten at the office).??TransportationMileage reimbursement for using your own car to reach the office or meet colleagues at a designated pickup point.#J-*****-Ljbffr