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Principal / Staff Data Scientist

1 week, 5 days ago
United States, Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
Deep Learning LLM Machine Learning MLflow Neural Networks Statistics
Apply Now
Xsolla

Xsolla

Xsolla is an international payment solution provider for online games, offering tools to launch, monetize, and scale games worldwide with local payment methods and fraud prevention.

Internet Software & Services
251-1K
Founded 2005
View All Jobs 89

Description

  • Architect and drive advanced machine learning solutions across the global ML organization.
  • Lead complex ML initiatives and help shape the team’s technical direction.
  • Mentor and develop junior ML engineers around the world.
  • Elevate engineering standards for scalable, production-ready machine learning systems.
  • Own models in production, including deployment, monitoring, drift detection, and retraining.
  • Build and fine-tune models from scratch rather than only integrating hosted APIs.
  • Analyze model behavior, evaluation results, and failure modes to improve performance.
  • Apply classical ML approaches to problems such as fraud, anomaly detection, recommendation, or churn/LTV.

Requirements

  • Advanced degree in statistics, machine learning, or a related field.
  • Experience leading high-impact data science initiatives at scale, including billions of transactions.
  • Hands-on experience creating, training, and fine-tuning models.
  • Experience owning production models with real latency budgets.
  • Production experience with classical ML methods such as gradient boosting, deep learning, or graph-based models.
  • Knowledge of supervised learning, transfer learning, and neural networks.
  • Basic LLM knowledge, including when to use it and when not to use it.
  • MLOps foundations, including feature stores, experiment tracking, model registries, and continuous training pipelines.
  • Experience with model serving and inference optimization, including vLLM-class serving and quantization.
  • Preferred: publications, conference talks, or open-source contributions to training/evaluation tooling.
  • Preferred: graph-based fraud detection experience, including fraud rings and device/account linkage.
  • Preferred: experience in gaming, payments, fraud, or advertising domains.
  • Preferred: hands-on use of modern AI tools such as Claude, Copilot, or Cursor.

Benefits

  • 100% company-paid medical, dental, and vision coverage.
  • Unlimited Flexible Time Off.
  • Personalized career roadmap for each US employee.
  • Training and educational opportunities for professional development.
  • Support for employees’ physical, mental, and emotional well-being.
  • Comprehensive benefits program for employees and their families.

Interested in this position?

Apply directly on the company website

Apply Now

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