Remote Junior Data Scientist - Multimodal AI & LLMs

Satalia; United States; Remote; USD 34,000 - 40,000; Full time

Benefits offered by this job

Healthcare benefits

Remote working

Flexible working hours

Impactful projects

Continuous learning and development

Job summary

Satalia, a creator of enterprise AI systems, invites applications for a Junior Data Scientist role in a fully remote Greece setting. You will explore multimodal datasets, craft features, and build models and agents guided by senior data scientists.

You will write clean, tested code ready for production, learn across workstreams, and adapt to evolving AI methods while collaborating with cross-functional teams.

Qualifications

• Degree in computer science, statistics, mathematics or related quantitative field; MSc/PhD is a plus.
• 0–2 years of experience in data science or machine learning, including internships or substantial academic projects.
• Solid foundations in statistics and machine learning for structured and unstructured data.
• Good Python skills and familiarity with the standard data science stack.
• Hands-on experience with embeddings and LLM-based solutions.
• Curiosity, a willingness to learn, and clear communication.
• Experience with temporal or geospatial data; open-source contributions/publications/competition results.

Responsibilities

• Explore multimodal datasets and build the features and pipelines that models depend on.
• Build and test models and agents under the guidance of senior data scientists.
• Write clean, tested, reviewed code that is ready to go to production.
• Learn quickly across workstreams and pick up new methods as the field evolves.

Skills

Python

ML basics

Embeddings

LLM solutions

Geospatial data

Temporal data

Communication

Education

Bachelors in CS/Statistics/Math

MSc or PhD (preferred)

Tools

NumPy/Pandas

PyTorch/TensorFlow

Job description

Satalia, a creator of enterprise AI systems, invites applications for a Junior Data Scientist role in a fully remote Greece setting. You will explore multimodal datasets, craft features, and build models and agents guided by senior data scientists.

You will write clean, tested code ready for production, learn across workstreams, and adapt to evolving AI methods while collaborating with cross-functional teams.