В связи с активным ростом проекта, команда Handy.ai в поиске Data Engineer, который поможет усовершенствовать архитектуру и поддерживать ее up-to-date
An International Fin-tech company (financial broker, top-5 worldwide)), offices in Great Britain, Malaysia and Cyprus is looking to engage an experienced Data Scientist for Operational Team located in Kuala-Lumpur. Remote job in the beginning, after - relocation to Malaysia.
Product company Tranzzo is looking for Data Scientist to join our friendly team!
We are working on the app similar to TIKTOK in some functions. You will be focused on the video recommendation algorithm. Remote position.
We’re looking for an experienced Data Scientist.
Crazy Labs, a leading mobile gaming company with over 3B downloads globally, is looking for a Data Engineer to implement the data engineering initiatives and grow our expanding BI system.
Novos is a platform for gamers where they can train and increase their skills. We develop individual training program for every gamer to help them to become more successful in their professional career.
Проект з побудови аналітичної системи групи компаній Епіцентр К.
Our client is an Estonian startup that is developing an AI-based search engine that allows users to find relevant audio content in podcasts, audiobooks, videos and other media that contains audio. It is Google for audio.
A remote Senior Data Scientist is needed. This job is about turning (big) data into actionable knowledge, which requires a blend of scientific, problem solving, analytical, technical, and communication skills.
Preply is looking for an experienced professional to join Data team and handle data aspects related to our product, understanding user behavior and activity. Your objective will not only be to analyze data but also to generate and deliver usable data & insights at various levels of the organization.
Looking for Data Science Engineer to join our Kyiv Data Unit EPAM! The project is aimed to build and deploy models to monitor hundreds of metric time series across millions of users
You will have the opportunity to lead and deliver spark development in some of the most complex Data Science and AI projects in the Oil and Gas Industry, ranging from the Data Engineering challenges of big data to the distributed computational Machine/Deep learning demands of Data Science and AI.