Junior Data Scientist

Job not on LinkedIn

🔥 2 hours ago

🇬🇷 Greece – Remote

⏰ Full Time

🟢 Junior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Satalia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📣 Marketing

📦 Logistics

💰 Grant on 2016-02

Consulting • Marketing • Logistics

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 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 • Work across agentic systems, federated and privacy-preserving learning, identity intelligence, geospatial intelligence, and synthetic data alongside senior data scientists, engineers, and domain experts across Satalia and WPP • Build and test models and agents that ship to production

🎯 Requirements

• A degree in computer science, statistics, mathematics, or a related quantitative field • 0 to 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 • Personal or academic projects involving agents, LLM fine-tuning, embeddings • Interest in marketing technology, ad tech, or audience modelling • Open-source contributions, publications, or competition results

🏖️ Benefits

• Healthcare benefits • Remote working • Flexible working hours • Impactful projects • Continuous learning and development