Senior Data Scientist

Senior Data Scientist

With over 8 billion downloads and 200+ games in our portfolio, we at SayGames think big. We don’t believe in bureaucracy or complex vertical structures—but we do believe in people and creative freedom. Our approach has propelled us into the top 3 publishers worldwide, and we have no plans to slow down.

We are a data-driven company, relying on analytics, cutting-edge technologies, and expertise. But our true secret lies in our people—their boldness and experience allow us to push boundaries, experiment, make mistakes, set trends, and uncover the secrets of success.

We're looking for a Senior Data Scientist to develop advanced ML models and implement innovative AI solutions to solve complex business challenges across our gaming and advertising platforms.

Responsibilities

• Develop and implement ML models: recommendation, predictive, uplift
• Apply visual embeddings of images and videos in applied tasks (e.g., creative evaluation, clustering, ranking)
• Work with marketing and product data: LTV, engagement, churn
• Build and maintain ML pipelines using Airflow, MLflow, Docker
• Contribute to defining the strategic direction of ML practice
• Initiate research tracks and launch MVPs

Requirements

• 5+ years of experience in applied Data Science
• Strong proficiency in Python (sklearn, pandas, numpy, scipy, etc.)
• Solid SQL skills; experience with ClickHouse is a plus
• Hands-on experience with TensorFlow and/or PyTorch
• Practical knowledge of ML infrastructure (MLflow, Airflow, Docker)
• Ability to work end-to-end: from idea to production
• Experience or strong interest in models for recommendation, uplift modeling, visual embeddings, and marketing prediction
• Ability to strengthen the team not just through execution, but also through strategic thinking

Nice to Have

• Experience in game development, advertising, or e-commerce
• Data visualization skills (Tableau, PowerBI, etc.)
• Understanding of product analytics and business metrics
• Experience working with multimodal data
• Skills in documentation and knowledge transfer within the team

Conditions

• Hybrid work format—cozy offices in Limassol, Paphos, or Warsaw. Remote work is up for discussion
• Flexible schedule—work at your own pace as long as you stay in touch with the team and get things done on time
• Support for self-development—free English & Polish (or Greek) courses, conference and course reimbursements
• Health benefits—medical insurance for you and your family, plus a sports allowance
• Top-tier equipment—we’ll set you up with the best devices for a smooth workflow
• Trips to Cyprus—we encourage workations and hold team events in our sunniest location