data scientist for ads monetization and game personalization

Easybrain develops a portfolio of games with billions of installs. Its production ML models power LTV prediction and user acquisition optimization.

• Research and develop ad monetization optimization, from studying underlying dynamics and simple heuristics to ML models and potentially reinforcement learning
• Predict LTV and other key user metrics using large-scale behavioral data, improving forecast accuracy through new modeling approaches, data signals, and features
• Build in-game personalization systems for difficulty and content management
• Validate models through A/B tests with the analytical team and bring them to production
• Own models end to end, from problem framing and research through production deployment, validation, and post-launch iteration

• Experience in predictive modeling and deploying ML models to production, including framing open problems, exploring data, building baselines, and iterating toward an ML solution
• Strong knowledge of Python and hands-on experience with the modern ML stack
• Profound understanding of statistics and machine learning
• B2+ level of English
• Fluent Russian
• Будет плюсом: experience in reinforcement learning, recommender systems, ad tech, or mobile games

• Full relocation support to countries where the company has offices
• High-end market salary with performance bonuses
• All necessary equipment
• Regular company events and monthly Friday meetings
• Social benefits, including private medical cover and sports reimbursement
• Paid vacations and sick days