Data Scientist II (Remote)

Agile Lab is a top-tier data engineering firm since 2013 and is now employing 120+ talented data engineers and data scientists in a remote-first culture and with an international mindset.

We are looking to hire a talented Data Scientist (level II) to develop ML solutions for internal products and for our customers.

Salary: 37.5K - 47.5K

Responsibilities:

Analyzes business requirements and determines a suitable solution autonomously, evaluating if an ML-based solution is feasible
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 (1-2 years)
In-depth knowledge of statistics, classical machine learning.
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
The opportunity to attend one conference per year
Stimulating environment oriented to growth, both professional and personal.

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.

Data Scientist II (Remote)

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