Data Scientist I (Remote) at Agile Lab

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Data Scientist I (Remote) at Agile Lab. Location Information: Rende, Italy. . 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.. ๐Ÿ’ฐ. RAL:. โ‚ฌ30K - โ‚ฌ40K . ๐Ÿ’ผ. The Opportunity:. . We are looking for a motivated and proactive . Junior Data Scientist. to 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. . ๐Ÿ’ป. Responsibilities:. . . Collaborate with the team to analyze business requirements and contribute to designing suitable ML-based solutions;. . . Develop and fine-tune models through reproducible experiments, taking ownership of your assigned features from data preparation to evaluation, with guidance from senior team members;. . . Contribute to building ML solutions by applying and learning the team's software engineering quality standards and data engineering best practices;. . . Proactively research and suggest new tools, libraries, and techniques to improve the team's workflow and model performance;. . . Effectively manage assigned tasks and project components, proactively communicating progress, challenges, and dependencies to ensure alignment;. . . Participate in monitoring and analyzing the performance of models in production. . . ๐Ÿ› ๏ธ. Requirements:. . . Masterโ€™s degree in Computer Science, Engineering, Physics, Mathematics, or a related field;. . . Minimum of 6 months of relevant experience (including significant internships, thesis, or university projects) up to 2 years in a similar role;. . . Good Knowledge of programming languages including advanced Python patterns;. . . Familiarity with git-based workflows;. . . Interest in . MLOps. practices and a desire to learn them;. . . Good communication skills, with the ability to clearly explain your work and findings to the technical team;. . . Languages: both Italian and English;. . . A collaborative spirit and a strong desire to contribute to the team's success. . . ๐Ÿ™Œ๐Ÿป. 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.. . ๐Ÿ˜Š. 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.. .