Principal Staff Data Scientist
Xsolla is a global video game commerce company providing tools and services to launch, monetize, and scale games. Its offerings include payments, web shops, publishing, distribution, LiveOps, anti-fraud, subscriptions, SDKs, and creator solutions for developers, publishers, payment providers, creators, and other gaming businesses.
Maintainer signals as of 8/23/2026
Projects
About Xsolla (USA), Inc.
Xsolla operates as a global merchant of record and video game commerce platform serving developers, publishers, resellers, payment providers, creators, and retailers. It provides payment processing across more than 200 countries and regions, 1,000+ payment methods, and 130+ currencies, alongside tax management, compliance, fraud prevention, refunds, dispute management, and end-user support. Its product portfolio includes Web Shop, Publishing Suite, Payments, Xsolla Pay, Mobile Buy Button, SDKs, Subscriptions, game distribution, Partner Network, Offerwall, LiveOps, Anti-Fraud, Login, Site Builder, cloud gaming, and related gaming commerce tools.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Architect advanced machine learning solutions, lead complex initiatives, improve engineering standards, mentor junior engineers, and guide teams in building scalable production-ready systems. Create, deploy, monitor, and optimize models for fraud detection, recommendations, and other large-scale applications.
Requirements
- Advanced degree in statistics, machine learning, or a related area
- Statistics and machine learning expertise
- Experience leading large-scale data science initiatives
- Hands-on experience creating, training, and fine-tuning models
- Production model deployment, monitoring, drift detection, and retraining experience
- Classical machine learning experience in fraud or anomaly detection, recommendation, or churn/LTV
- Supervised learning and transfer learning
- Neural networks
- Basic LLM knowledge
- MLOps foundations including feature stores, experiment tracking, model registries, and continuous training pipelines
- Model serving and inference optimization
- Graph-based fraud detection experience
Responsibilities
- Architect advanced machine learning solutions
- Lead complex machine learning initiatives
- Elevate engineering standards
- Mentor junior machine learning engineers
- Guide teams in building scalable production-ready machine learning systems
- Create, train, and fine-tune machine learning models
- Deploy, monitor, detect drift in, and retrain production models
Benefits
- 100% company-paid medical plans
- 100% company-paid dental plans
- 100% company-paid vision plans
- Unlimited Flexible Time Off
