Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage.
Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step.
Develop reporting layers—dashboards, automated reports, and notifications—to deliver insights across teams.
Curate raw data into meaningful structures for CRM, product, and monetization teams.
Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations.
Define and execute multivariate testing frameworks to optimize product and campaign performance.
Explore and apply state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.
Partner and influence cross-functional teams—including CRM, Server, Data Engineering, and Leadership—to implement end-to-end solutions quickly and effectively.
Align data projects with business goals and ROI considerations, applying pragmatic 80/20 thinking to maximize impact.
Deeply understand and navigate the abstract mechanics of our ecosystem—game economies, monetization levers, RTPs, and more.

Master's Degree in a quantitative field
Programming experience in a scripting language such as Python or R
Fundamental understanding of statistics and machine learning models
Knowledge of statistical testing, data visualization best practices, and data mining
Familiarity with cloud computing environments and their components (at least one among AWS, GCP, Azure etc)
Proficiency in SQL
Strong problem-solving skills
Resilience against difficult tasks
Solid and effective English communication skills
Attention to detail and ingrained affinity for sanity checks and clean delivery
Nice to have: PhD degree in a quantitative field or 4+ years of professional experience in a relevant field (technology/gaming/algorithms/research…)
Experience working with GCP tech stack
A good understanding of database design and management
Experience in developing and applying machine learning algorithms to business problems
Experience in Java and/or C++
Experience in AI productionisation and Agentic deployment

Senior Data Scientist

Key skills