Mid Level Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇬🇷 Greece – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 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

• Own well-defined components of a project, from data and modelling to evaluation • Develop models, agents, and evaluation harnesses that keep them safe and reliable • Work with engineers to take work to production • Share work clearly with the team and stakeholders • Support junior colleagues • Continuously upskill as the field evolves • Choose modelling approaches, build training and evaluation infrastructure, and ship to production • Collaborate with engineers and domain experts across Satalia and WPP

🎯 Requirements

• 2 to 5 years building ML/AI models in production • Strong modelling skills for both structured and unstructured data • Hands-on experience building LLM-powered systems • Good software engineering habits: Python, version control, testing, code review • Clear communication with both technical and non-technical stakeholders • Preferred: Experience with temporal and geospatial data • Preferred: Experience building and testing agents • Preferred: Experience with federated learning, clean rooms, or other privacy-preserving methods • Preferred: Background in marketing technology, ad tech, audience modelling, or media mix modelling • Preferred: Publications or meaningful open-source contributions

🏖️ Benefits

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