Junior Data Scientist

🕒 April 30

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Satalia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

💰 Grant on 2016-02

Artificial Intelligence • B2B • Enterprise

Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.

📋 Description

• Explore and prepare datasets — cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular). • Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production-ready system. • Write and maintain Python code that runs in production — scripts, pipeline components, and data processing jobs — with support through code review. • Help build and test components of LLM-powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines. • Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team. • Learn and adopt software engineering best practices — Git workflows, testing, documentation, and CI/CD — as part of your daily work.

🎯 Requirements

• A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience. • Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection. • Working knowledge of Python — you can write functions, use libraries, debug errors, and read other people's code. • Familiarity with core data science libraries (pandas, NumPy, scikit-learn). • Exposure to PyTorch or TensorFlow is a plus. • Some project experience with ML — academic projects, personal projects, internships, or competition entries all count. • Curiosity and initiative — you read papers, follow releases, tinker with new tools, and ask good questions. • Clear communication — you can explain what you did, why, and what you learned from it.

🏖️ Benefits

• Remote working - café, bedroom, beach - wherever works; • healthcare; • Truly flexible working hours - school pick up, volunteering, gym; • Generous Leave – holidays in line with Greek Law, plus bank holidays and enhanced family leave; • Impactful projects - focus on bringing meaningful social and environmental change; • People oriented culture - wellbeing is a priority, as is being a nice person; • Transparent and open culture - you will be heard; • Development - focus on bringing the best out of each other;