Senior Data Scientist (Remote Greece) - ML Lead & AI Systems

Satalia; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare benefits

Fully remote from Greece

Flexible hours

Learning & development

Job summary

Satalia is seeking a Lead Data Scientist to drive technical data science work from problem definition to production delivery. The role covers AI agents, privacy-preserving model training, geospatial modelling, and synthetic data, partnering with engineers and domain experts.

You will mentor others, define scalable solutions, and lead projects end-to-end, ensuring reliability and safety of models while communicating with technical and non-technical stakeholders.

Qualifications

• Five+ years building ML/AI models and taking them into production.
• Deep modelling expertise across structured and unstructured data.
• Hands-on experience with systems powered by large language models.
• Strong Python and software engineering practices including VCS, testing, code review and CI/CD.

Responsibilities

• Translate business needs into clearly scoped data science projects and select modelling approaches.
• Develop models and agents with evaluation systems for reliability and safety.
• Lead projects end-to-end, plan delivery, and coordinate with the team.
• Build training and evaluation infrastructure and deploy solutions with engineers.
• Explain complex technical work to engineers, specialists, and senior stakeholders.
• Mentor data scientists and improve the team's technical standards.

Skills

ML/AI modelling

LLMs

Python

Software engineering

Technical leadership

Communication

Tools

Version control

Testing frameworks

Code review

CI/CD pipelines

Job description

Satalia is seeking a Lead Data Scientist to drive technical data science work from problem definition to production delivery. The role covers AI agents, privacy-preserving model training, geospatial modelling, and synthetic data, partnering with engineers and domain experts.

You will mentor others, define scalable solutions, and lead projects end-to-end, ensuring reliability and safety of models while communicating with technical and non-technical stakeholders.