Data Scientist I (Remote)

• 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.

• Master’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.

• 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.

• 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.

Agile Lab