Senior Data Scientist - Anticheating

About the Role We are building a next-generation AI-driven anti-cheating system for competitive strategy games. Unlike traditional fraud detection, our challenge sits at the intersection of: 🎮 Game AI & player behavior modeling 🧠 Reinforcement learning & decision systems 🔍 Anomaly detection under adversarial conditions You will work on identifying non-obvious, strategic cheating behaviors in complex environments where players actively adapt to detection systems. This is not rule-based detection — this is behavioral intelligence at scale. What You’ll Do 1️⃣ Behavioral Modeling & Detection Design machine learning / deep learning models to detect cheating patterns Model player behavior sequences, strategies, and anomalies Build systems that distinguish: high-skill play vs. AI-assisted play natural variance vs. exploitation 2️⃣ Anti-Cheating System Design Develop scalable detection pipelines (offline + real-time) Build feature systems from gameplay logs / event streams Design evaluation frameworks for detection accuracy & robustness 3️⃣ ML / DL / Advanced Techniques Apply and experiment with: sequence modeling (RNN / Transformer-based) anomaly detection graph-based or behavioral embeddings Explore intersections with: reinforcement learning game-theoretic modeling adversarial ML 4️⃣ Collaboration with AI & Engineering Teams Work closely with: Gameplay AI / RL researchers Backend / data engineering teams Translate models into production systems What We’re Loo