Data Scientist

Remote
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AI Summary

Join an international team as a Data Scientist to design and develop advanced data processing and analytics solutions. Work with structured and unstructured data from multiple sources and support AI and machine learning related initiatives. Collaborate with technical teams, business analysts, and stakeholders.

Key Highlights
Long-term far-site opportunity
100% remote with only a few on-site presence per year
Work within an international and mission-critical IT ecosystem
Key Responsibilities
Design and develop advanced data processing and analytics solutions
Build and maintain data pipelines and ETL processes
Work with structured and unstructured data from multiple sources
Develop automation workflows and scalable data solutions
Support AI and machine learning related initiatives
Contribute to data modelling, analytics architecture, and performance optimisation
Collaborate with technical teams, business analysts, and stakeholders
Produce technical documentation and participate in technical meetings
Technical Skills Required
Python 3 Pandas NumPy SciPy TensorFlow Keras Elasticsearch Elastic Stack SQL Oracle DB PostgreSQL MySQL NoSQL databases Graph Databases (Neo4j)
Benefits & Perks
100% remote
Long-term assignment with extensions
Trip reimbursement
Nice to Have
Knowledge of NLP / Machine Learning / Deep Learning
Experience with Kibana, Logstash, MongoDB, Apache Solr
Experience with BI tools such as Power BI or Tableau

Job Description


We are currently looking for a skilled Data Scientist to join an international team for a project within the Digital Economy and AI domain.


This is a long-term far-site opportunity open to candidates located anywhere within the EU.


Location

Remote / Far-site (EU only)


Language

  • English required
  • Italian is a plus


Main Responsibilities


  • Design and develop advanced data processing and analytics solutions
  • Build and maintain data pipelines and ETL processes
  • Work with structured and unstructured data from multiple sources
  • Develop automation workflows and scalable data solutions
  • Support AI and machine learning related initiatives
  • Contribute to data modelling, analytics architecture, and performance optimisation
  • Collaborate with technical teams, business analysts, and stakeholders
  • Produce technical documentation and participate in technical meetings


Mandatory Technical Skills


  • Strong experience with Python 3
  • Experience with data processing libraries such as Pandas, NumPy, SciPy, TensorFlow or Keras
  • Excellent knowledge of Elasticsearch and Elastic Stack
  • Strong SQL and database knowledge
  • Experience with Oracle DB / PostgreSQL / MySQL
  • Experience with NoSQL databases
  • Experience with Graph Databases (e.g. Neo4j)
  • Experience with ETL/data pipelines and workflow automation
  • Experience with data modelling and analytical query optimisation
  • Experience with scripting, testing, debugging, and automation


Nice to Have


  • Knowledge of NLP / Machine Learning / Deep Learning
  • Experience with Kibana, Logstash, MongoDB, Apache Solr
  • Experience with BI tools such as Power BI or Tableau
  • Italian language


Profile

We are looking for candidates who are:

  • Strong problem solvers
  • Comfortable in international environments
  • Able to work independently in remote settings
  • Good communicators with both technical and non-technical stakeholders


Working Method


  • Working distribution: 100% remote with only a few on-site presence per year for workshops, trip reimbursed by the client.
  • Long-term assignment with extensions
  • Work within an international and mission-critical IT ecosystem


Candidates must be comfortable working in a very structured, security-focused environments.


If you are interested, please read carefully the privacy policy available here and submit your application by attaching your CV. We remind you that, pursuant to Article 111-bis of the Privacy Code, it is not necessary to obtain authorization for the processing of personal data contained in your CV.


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