Senior Data Scientist

Develop and implement ML models: recommendation, predictive, uplift Apply visual embeddings of images and videos in applied tasks (e.g., creative evaluation, clustering, ranking) Work with marketing and product data: LTV, engagement, churn Build and maintain ML pipelines using Airflow, MLflow, Docker Contribute to defining the strategic direction of ML practice Initiate research tracks and launch MVPs 5+ years of experience in applied Data Science Strong proficiency in Python (sklearn, pandas, numpy, scipy, etc.) Solid SQL skills; experience with ClickHouse is a plus Hands-on experience with TensorFlow and/or PyTorch Practical knowledge of ML infrastructure (MLflow, Airflow, Docker) Ability to work end-to-end: from idea to production Experience or strong interest in models for recommendation, uplift modeling, visual embeddings, and marketing prediction Ability to strengthen the team not just through execution, but also through strategic thinking Nice to Have Experience in game development, advertising, or e-commerce Data visualization skills (Tableau, PowerBI, etc.) Understanding of product analytics and business metrics Experience working with multimodal data Skills in documentation and knowledge transfer within the team Hybrid work format — cozy offices in Limassol, Paphos, or Warsaw. Remote work is up for discussion Flexible schedule — work at your own pace as long as you stay in touch with the team and get things done on time Support for self-development — free English classes, conference and course reimbursements Health benefits — medical insurance for you and your family, plus a sports allowance Top-tier equipment — we’ll set you up with the best devices for a smooth workflow Team-building trips across our office locations and beyond, from sunny Cyprus to Poland’s lakes, rivers, forests, and mountains.