Easybrain is looking for a Data Scientist to join our Business Intelligence team. Our ML models run in production, powering LTV prediction and user acquisition optimization across a portfolio of games with billions of installs. Your focus will be on building new ML systems for ads monetization and game personalization from the ground up.This is a hands-on, end-to-end role focused on improving business metrics. You will own your models from problem framing through research, production deployment, validation, and post-launch iteration.
Responsibilities:– Researching and developing ads monetization optimization (floor pricing, ad load balancing) – an open research problem: from studying the underlying dynamics and simple heuristics to ML models and potentially RL;– Predicting LTV and other key user metrics using large-scale behavioral data: improving forecast accuracy through new modeling approaches, data signals, and features;– Building in-game personalization systems: difficulty and content management;– Validating models through A/B tests in collaboration with the analytical team and bringing them to production.
Tech stack: Python – you’re free to choose whatever ML tools fit the task best (PyTorch and LightGBM are in production today); ClickHouse, PostgreSQL, Airflow, MLflow, Docker.
Requirements:– Experience in predictive modelling and deploying ML models to production: framing an open problem, exploring the data, building baselines, and iterating towards an ML solution;– Strong knowledge of Python and hands-on experience with the modern ML stack;– Profound understanding of statistics and machine learning;– Experience in reinforcement learning, recommender systems, ad tech, or mobile games is a plus;– B2+ level of English;– Fluent Russian is required.
Benefits:Besides the engaging tasks, support from experienced colleagues, challenge, and drive, we offer:– Full support in relocating to countries where our offices are located;– High-end market salary with performance bonuses;– All needed equipment;– Regular company events and monthly Friday meetings;– Social benefits (private medical cover, sports reimbursement, etc.);– Paid vacations, sick days;– English, Greek, and Polish online language classes;– Reimbursement for education and professional development.
