Jr. Data Scientist

Multiversity Group · Campania, Napoli, Italia ·


Descrizione dell'offerta

About Multiversity:

MultiVersity stands as a beacon of innovation in the Italian edTech sector, revolutionizing the way digital education is perceived and delivered. Rooted in Italy, we have risen as a key player in the region, pioneering novel learning methods and state-of-the-art technological solutions. We are committed to a holistic educational approach, integrating traditional teaching methods with modern digital tools to serve a diverse learning community. Our mission at MultiVersity is to empower students, educators, and institutions to excel in a globally connected digital environment.


Overview:

We are seeking a motivated and passionate Data Scientist with over 2 years of experience in AI and data analysis to support the development of advanced solutions in data analytics.


Key Responsibilities:

  • Analyze, process, and interpret data from diverse sources.
  • Develop and implement statistical models and machine learning algorithms, primarily related to Computer Vision.
  • Utilize SQL for querying and managing relational databases.
  • Collaborate with the tech and product teams to create data-driven solutions.
  • Employ AWS tools for data flow management and model deployment.
  • Bachelor's degree in STEM disciplines (Statistics, Computer Science, Engineering, Mathematics, or related fields).


Requirements:

  • Two years of experience in similar roles.
  • Strong knowledge of SQL.
  • Experience with AWS services (e.g., S3, Lambda, QuickSight, SageMaker).
  • Proficiency in Python and main libraries (pandas, scikit-learn, numpy, matplotlib).
  • Understanding of machine learning and AI fundamentals.


Nice to Have:

  • Experience in projects related to education or digital learning.
  • Familiarity with Computer Vision tools.
  • Exposure to data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of GCP tools and services.
  • Understanding of NLP techniques or LLM models.

Candidatura e Ritorno (in fondo)