Data Scientist

October 1

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Satalia

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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.

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

💰 Grant on 2016-02

📋 Description

• Develop and leverage state-of-the-art algorithms and libraries to solve complex problems for our clients. • Collaborate with Satalia and WPP Product teams on advanced AI features for marketing applications. • Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. • Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. • Stay abreast of the latest trends in AI research and integrate them into our products and services. • Communicate technical challenges and solutions to non-technical stakeholders and team members.

🎯 Requirements

• Experience in machine learning, with a strong knowledge of algorithms and principles. • Proven track record of building and deploying machine learning models into production. • Hands-on experience with both structured and unstructured data. • Experience with deep learning models for either computer vision or natural language processing. • Proficiency with the Python programming language. • Knowledge of Git and collaboration principles. • Strong communication and presentation skills.

🏖️ Benefits

• We offer truly flexible working and allow our employees to find the working practice that makes them most productive. • Focus on wellbeing and inclusivity. • Personal and professional growth opportunities. • Competitive salaries commensurate with experience and skills. • Work on diverse and challenging projects with a tight-knit team of high performing colleagues. • Achievements are celebrated. • Reasonable adjustments to the interview process available.