Mid Level Data Scientist Greece

Satalia; United States; Remote; USD 72,000 - 105,000; Full time

Benefits offered by this job

Healthcare benefits

Flexible hours

Learning & development

Remote work from Greece

Full-time

Job summary

Satalia is seeking a skilled ML/AI engineer to bring models and LLM-powered agents into production. You will own components spanning data, modelling, and evaluation, collaborating with engineers to deploy solutions.

You will work on projects including AI agents, privacy-preserving learning, geospatial and synthetic data, with a strong emphasis on practical, production-ready systems. This role is fully remote from Greece with healthcare benefits and flexible hours.

Qualifications

• 2–5 years of experience building machine learning or AI models for production.
• Strong modelling skills across structured and unstructured data.
• Practical experience building systems powered by large language models.
• Proficiency in Python and sound practices in version control, testing, and code review.
• Clear communication with both technical and non-technical audiences.

Responsibilities

• Select modelling approaches and develop models or LLM-powered agents for project needs.
• Build training and evaluation workflows, including checks for model and agent reliability.
• Own project components across data, modelling, and evaluation.
• Work with engineers to integrate solutions into production systems.
• Communicate findings to technical and non-technical stakeholders and support junior colleagues.

Skills

ML production experience

Structured data modelling

Unstructured data modelling

LLM systems

Python

Version control

Testing

Code review

Communication

Tools

Python

Job description

Role overview

Build and bring machine learning systems into production, owning defined parts of the work from data preparation and modelling through evaluation. Projects span AI agents, privacy-preserving learning, behavioural and identity modelling, geospatial analysis, and synthetic data, in collaboration with engineering and domain specialists.

Responsibilities

• Select modelling approaches and develop models or LLM-powered agents for project needs.
• Build training and evaluation workflows, including checks for model and agent reliability.
• Own project components across data, modelling, and evaluation.
• Work with engineers to integrate solutions into production systems.
• Communicate findings to technical and non-technical stakeholders and support junior colleagues.

Requirements

• 2–5 years of experience building machine learning or AI models for production.
• Strong modelling skills across structured and unstructured data.
• Practical experience building systems powered by large language models.
• Proficiency in Python and sound practices in version control, testing, and code review.
• Clear communication with both technical and non-technical audiences.

Nice to have

• Experience with temporal or geospatial data, or building and evaluating agents.
• Familiarity with federated learning, clean rooms, or other privacy-preserving techniques.
• Background in marketing technology, advertising, audience modelling, or media mix modelling.
• Research publications or substantial open-source contributions.

Benefits and work setup

Full-time, fully remote work from Greece, with healthcare benefits, flexible hours, and learning and development opportunities.