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Data analyst at mobile game studio Easybrain in Limassol, exploring player behaviour, monitoring product metrics, and designing and interpreting A/B tests to shape product decisions. Core stack: Python and SQL, plus AI-assisted analytics tools.
Machine Learning Engineer on Easybrain's Business Intelligence team, building real-time ML services for ads monetization and in-game personalization across mobile games with billions of installs. Day-to-day combines Python backend development, data pipelines over large-scale data, and MLOps (CI/CD, monitoring) using ClickHouse, PostgreSQL, Airflow, MLflow, Docker, PyTorch, and LightGBM.
Easybrain is seeking a Data Scientist to develop and deploy machine learning models for ads monetization, LTV prediction, and game personalization. The role involves end-to-end ownership of models using Python, PyTorch, and LightGBM within a mobile gaming environment.
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