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Principal / Staff Data Scientist

2 months, 1 week ago
United States, Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
Deep Learning LLM Machine Learning MLflow Neural Networks Statistics
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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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