Senior Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇬🇷 Greece – Remote

⏰ Full Time

🟠 Senior

📊 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

• Turn business problems into well-scoped data science projects • Develop models, agents, and evaluation harnesses that keep them safe and reliable • Lead projects end to end: plan the work, design the solution, and work with the team to deliver • Explain complex technical work clearly to engineers, domain experts, and senior stakeholders • Mentor data scientists and raise the quality bar across the team • Scope problems, choose modelling approaches, build training and evaluation infrastructure, and ship solutions to production • Collaborate with engineers and domain experts across Satalia and WPP

🎯 Requirements

• 5+ years building ML/AI models and taking them to production • Deep expertise in modelling techniques for both structured and unstructured data • Hands-on experience building LLM-powered systems • Strong software engineering habits: Python, version control, testing, code review, CI/CD • Proven record of leading technical projects and mentoring other data scientists • Clear communication with both technical and non-technical stakeholders • Experience with temporal and geospatial data (nice to have) • Experience building and testing agents in production (nice to have) • Experience with federated learning, clean rooms, or other privacy-preserving methods (nice to have) • Background in marketing technology, ad tech, audience modelling, or media mix modelling (nice to have) • Publications at top venues or meaningful open-source contributions (nice to have)

🏖️ Benefits

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