Senior Data Scientist (Machine Learning) - Business Intelligence & Ads Monetization

easybrain • Cyprus

Relocation

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AI Summary

Join easybrain’s Business Intelligence team as a Senior Data Scientist to develop end-to-end ML systems for ads monetization, LTV prediction, and game personalization. You’ll research, deploy, and iterate on models in production, optimizing user acquisition and in-game experiences. Requires deep expertise in predictive modeling, Python, and production ML deployment with statistical and ML fundamentals.

Key Highlights

End-to-end ownership of ML systems from problem framing to production deployment and post-launch iteration

Focus on ads monetization optimization (floor pricing, ad load balancing) and reinforcement learning research

Collaborative A/B testing and validation with analytical teams to improve business metrics like LTV

Key Responsibilities

Research and develop ads monetization optimization models (floor pricing, ad load balancing) using heuristics, ML, and reinforcement learning

Predict LTV and key user metrics using large-scale behavioral data, improving forecast accuracy through advanced modeling and feature engineering

Build in-game personalization systems for difficulty and content management, deploying models end-to-end

Validate models via A/B testing in collaboration with analytical teams and ensure production deployment

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Technical Skills Required

Python Machine Learning Predictive Modeling

Benefits & Perks

High-end market salary with performance bonuses

Full relocation support to countries where offices are located

Private medical coverage, sports reimbursement, and paid vacations

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Nice to Have

Experience in reinforcement learning

Background in recommender systems

Experience in ad tech or mobile games

Job 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.

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