Principal / Staff Data Scientist
Core
Architect advanced ML solutions and drive innovation across the machine learning ecosystem for a global commerce company serving video game developers.
Role type
Principal Machine Learning Engineer (Video Game Industry)
Builds
Scalable, production-ready machine learning systems for fraud detection, anomaly detection, recommendation, and churn/LTV modeling.
Domain
Video game industry, payments, fraud, advertising
Deliverable
production ML models
Required skills
Advanced statistics and machine learning modeling, hands-on model training and fine-tuning, production model ownership (deployment, monitoring, drift detection, retraining), classical ML (gradient boosting, deep learning, graph-based models), supervised learning, transfer learning, neural networks, MLOps (feature stores, experiment tracking, model registries), model serving and inference optimization (vLLM, quantization), LLM usage strategy
Preferred skills
Publications or conference talks, open-source contributions to training/eval tooling, graph-based fraud detection expertise, gaming/payments/fraud/advertising domain experience, modern AI tools (Claude, Copilot, Cursor) for code generation and review