Teams at Play Perfect

Design, build, and maintain end-to-end ETL/ELT data pipelines and scalable data models for marketing analytics. Partner with Marketing, UA, and Monetization to enable ROAS, cohort, LTV analyses and ensure data integrity and freshness across BI reporting.

Analyze customer behavior and large-scale datasets to detect and research complex fraud patterns and emerging threats. Develop and maintain fraud models, generate actionable insights, estimate impact, and collaborate with Product, Data Science, and Data Engineering teams to improve fraud detection and decision accuracy.

Design, deploy, and monitor production data-science models using deep learning and time-series methods. Drive KPI improvements via advanced analysis, experimentation, and collaboration with game-economy, development, and marketing teams. Communicate insights to non-technical stakeholders and remain current with ML research.