Principal Staff Data Scientist
Xsolla is a global video game commerce company providing payment processing, merchant-of-record services, monetization, publishing, distribution, fraud prevention, tax management, and direct-to-consumer tools. Its primary clients are video game developers, publishers, payment providers, creators, and players.
Maintainer signals as of 8/12/2026
Projects
About Xsolla
Xsolla provides tools and services for launching, promoting, selling, and monetizing video games across mobile, PC, web, and other platforms. Its offerings include global payments, Pay Station, Web Shop, Buy Button, SDKs, APIs, authentication, subscriptions, virtual goods, game keys, game distribution, cloud gaming, anti-fraud, tax compliance, player support, analytics, LiveOps, creator campaigns, loyalty, rewards, and publishing tools. Xsolla serves game developers and publishers worldwide, as well as payment providers and gamers.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect advanced machine learning solutions, lead complex machine learning initiatives, improve engineering standards, mentor junior machine learning engineers, and guide teams in building scalable production-ready systems. You will 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
