Data Scientist at Easybrain

on-site · data science · Visa sponsorship

Apply for this role at Easybrain

Responsibilities:
- Own end-to-end ML projects: problem framing, data exploration, modeling, production deployment, validation, and post-launch iteration.
- Research and develop ads monetization optimization (floor pricing, ad load balancing) using heuristics, ML models, and potentially reinforcement learning.
- Build large-scale LTV and user-metric forecasting models using behavioral data to improve prediction accuracy and inform UA decisions.
- Design and implement in-game personalization systems (difficulty, content management) to improve engagement and monetization.
- Validate model impact via A/B testing in collaboration with analytics and engineering teams and operationalize winning models.

Requirements:
- 2–5 years of hands-on experience in predictive modeling and deploying ML models to production.
- Strong Python skills and practical experience with modern ML tools (experience with PyTorch and LightGBM preferred).
- Deep understanding of statistics, ML algorithms, feature engineering, and model evaluation.
- Experience or interest in reinforcement learning, recommender systems, ad tech, or mobile games is a plus.
- Familiarity with ClickHouse, PostgreSQL, Airflow, MLflow, Docker, or similar production stacks.
- English B2+ and fluent Russian required.