5 hours ago



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

    Full time

    • Senior
    • CYPRUS

    PostgreSQLDockerPythonPyTorch

    Job Description

    • 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

    Match

    15%

    Good match

    We match every vacancy against your profile and show a fit score — so you instantly know which ones are worth applying to. Sign up and create a resume — it's free.

    Not enough data to estimate a salary range for this role in this region yet.

    • 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