# Data Scientist

## Details

- **Company:** [Easybrain](https://hitmarker.net/companies/easybrain.md)
- **Location:** Limassol, Cyprus
- **Contract type:** Full Time
- **Level:** Intermediate \(2–5 years\)
- **Tags:** Artificial Intelligence \(AI\)
- **Posted:** 2026-08-20
- **Apply:** [View and apply on Hitmarker](https://hitmarker.net/jobs/easybrain-data-scientist-4737135)

## Description

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.