Senior Data Scientist Greece

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

Role overview

Lead technical data science work from problem definition and solution design through production delivery. The work covers long-running AI agents, privacy-preserving model training, behavioural and identity intelligence, geospatial modelling, and synthetic data; you will guide projects while partnering with engineers and domain experts.

Responsibilities

• Translate business needs into clearly scoped data science projects and choose appropriate modelling approaches.
• Develop models and agents, along with evaluation systems that assess their reliability and safety.
• Lead projects end to end, planning delivery and coordinating with the team.
• Build training and evaluation infrastructure and work with engineers to deploy solutions.
• Explain complex technical work to engineers, specialists, and senior stakeholders.
• Mentor data scientists and help improve the team's technical standards.

Requirements

• At least 5 years building machine learning or AI models and taking them into production.
• Deep modelling expertise across structured and unstructured data.
• Hands-on experience developing systems powered by large language models.
• Strong Python and software engineering practices, including version control, testing, code review, and CI/CD.
• Demonstrated technical project leadership and experience mentoring data scientists.
• Clear communication with technical and non-technical audiences.

Nice to have

• Experience with temporal or geospatial data, or production agents.
• Knowledge of federated learning, clean rooms, or other privacy-preserving approaches.
• Background in marketing technology, advertising, audience modelling, or media mix modelling.
• Publications at leading research venues or meaningful open-source work.

Benefits and work setup

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