Wellness.tech
Ukraine
New
Data Analyst (Mobile Products)
Data Science Full-time Mid-Senior level 12m ago
- AI
- Ai Tools
- Android
- Data Analysis
A
AI Summary
Design and develop AI-driven anti-cheating systems for competitive strategy games. Work on behavioral modeling, anomaly detection, and machine learning/deep learning models. Collaborate with AI and engineering teams to translate models into production systems.
Key Highlights
Behavioral modeling and detection of cheating patterns
Designing scalable detection pipelines and feature systems
Applying machine learning/deep learning techniques for anomaly detection
Key Responsibilities
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 and natural variance vs. exploitation
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Technical Skills Required
Benefits & Perks
Fully remote work
Japan relocation supported (visa sponsorship available)
Global, distributed team
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Nice to Have
Experience with sequence models (LSTM/Transformer)
Large-scale behavioral data
Real-time detection systems
Job Description
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
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