Data Scientist Greece Mid Level

Satalia

Greece
Not specified; not specified; healthcare included
Fully remote
2-4 years ml model building experience
Production deployment of machine learning models
Python proficiency with core ml libraries
Satalia is seeking a mid-level Data Scientist to join its team in Greece, focusing on developing innovative AI systems for its client base. The role offers the opportunity to work with large datasets and contribute to diverse machine learning projects in a flexible and inclusive work environment

Job Summary

  • The role involves building agentic pipelines, domain-adapted foundation models, and production RAG systems for enterprise-grade AI.
  • Candidates will own their work end-to-end, shipping code to production while collaborating with senior scientists in a high-autonomy environment.
  • The company offers flexible working hours, remote work options, healthcare benefits, and a culture prioritizing wellbeing and inclusion.

Matching Summary

Match Score: 85

Satalia is seeking a mid-level Data Scientist to join its team in Greece, focusing on developing innovative AI systems for its client base. The role offers the opportunity to work with large datasets and contribute to diverse machine learning projects in a flexible and inclusive work environment.

Salary

Not specified; Not specified; Healthcare included

Skills & Requirements

Must-have

  • 2-4 years ML model building experience
  • Production deployment of machine learning models
  • Python proficiency with core ML libraries
  • Software engineering practices Git CI/CD testing
  • Understanding of bias-variance trade-offs and cross-validation

Nice-to-have

  • Experience with LLM fine-tuning prompt engineering or RAG
  • Familiarity with cloud infrastructure AWS GCP Docker
  • Background in marketing technology ad tech or audience modelling
  • Relevant MSc or PhD degree or equivalent self-directed learning
  • Strong communication skills for technical and non-technical audiences

Key Requirements

  • 2-4 years of experience building ML models
  • Solid fundamentals in machine learning principles
  • Working proficiency in Python and ML libraries
  • Strong software engineering practices including Git and CI/CD

Work Rights

Not specified

Tailored Resume

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