# Data Scientist at Easybrain

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own end-to-end ML projects: problem fram

- **Company:** Easybrain (https://jobs.trythestack.co/companies/easybrain)
- **Location:** Limassol, Cyprus
- **Work arrangement:** Hybrid
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Machine learning, Statistics, Predictive modeling, PyTorch, LightGBM, ClickHouse, PostgreSQL, Airflow, MLflow, Docker, Reinforcement learning, Recommender systems, Ad tech, Mobile games
- **Posted by employer:** 2026-08-20
- **Added to The Stack:** 2026-08-20
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.lever.co/easybrain/740688fa-05e7-4618-b54b-699f7afb4c8b (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-easybrain

## About the role

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.

## Responsibilities

You will develop and deploy machine learning models for ads monetization, LTV prediction, and in-game personalization. The role involves end-to-end ownership from problem framing and research to production deployment and A/B testing.

## Requirements

Candidates must have strong experience in predictive modeling, deploying ML models to production, and proficiency in Python. A profound understanding of statistics and machine learning is required, along with B2+ English and fluency in Russian.

## FAQ

- **Is this Data Scientist role still open?** It was posted on 2026-08-20. Listings more than 30 days old may no longer be active, so check Easybrain's site before applying.
- **Does Easybrain offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Easybrain's site.
- **Where is this role located?** The listing gives the location as Limassol, Cyprus. It is marked hybrid.
- **What skills does this role ask for?** The listing names: Python, Machine learning, Statistics, Predictive modeling, PyTorch, LightGBM, ClickHouse, PostgreSQL, Airflow, MLflow, Docker, Reinforcement learning, Recommender systems, Ad tech, Mobile games.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.lever.co/easybrain/740688fa-05e7-4618-b54b-699f7afb4c8b). The Stack does not take applications.
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- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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