Principal Staff Data Scientist
Xsolla (USA), Inc., operating under the Xsolla brand, is a global video game commerce and payments company serving game developers, publishers, creators, and payment providers.
Maintainer signals as of 9/25/2026
Projects
About Xsolla (USA), Inc.
Xsolla provides merchant-of-record and payment-processing services plus direct-to-consumer commerce, web shops, publishing and distribution tools, cloud gaming, fraud prevention, player engagement, creator monetization, and developer tooling for the video game industry. Its solutions operate across 200+ geographies with 1,000+ payment methods and are actively supported through live products, documentation, customer support, and ongoing hiring.
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
