Principal / Staff Data Scientist

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🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Xsolla

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Xsolla is a company specializing in game commerce solutions. It provides tools and services that empower video game developers to monetize, distribute, and fund their games, helping them to increase revenue at any stage of development. Xsolla offers a wide range of solutions such as customizable web shops, payment processing, fraud prevention, and social packages to enhance player engagement. With over 19 years of experience in the video game industry, Xsolla collaborates with developers and publishers globally to manage compliance, taxes, and operational complexities, allowing them to focus on connecting with their players. Their services are designed to work with popular game development platforms like Unity, Unreal, and Cocos Creator, supporting a wide array of local payment methods worldwide.

📋 Description

• Drive innovation across the machine learning ecosystem • Architect advanced machine learning solutions • Mentor junior ML engineers around the world • Shape technical direction and lead complex ML initiatives • Elevate engineering standards • Guide teams building scalable, production-ready machine learning systems • Develop talent and influence the future of ML/AI in the video game industry

🎯 Requirements

• Advanced Degree in Statistics, machine learning or related areas • Statistics/ML expertise with a track record of leading high-impact data science initiatives at the scale of billions of transactions • Hands-on experience creating, training, and fine-tuning models rather than only integrating hosted model APIs • Ability to explain data, objectives, failures, before/after evaluation numbers, and reasons for model performance • Experience owning production models, including deployment, monitoring, drift detection, and retraining with real latency budgets • Production experience with classical ML for fraud/anomaly detection, recommendation, or churn/LTV • Knowledge of supervised learning, transfer learning, and neural networks • Basic LLM knowledge, including appropriate and inappropriate use cases • MLOps foundations: feature stores, experiment tracking, model registries, and continuous training pipelines • Model serving and inference optimization, including vLLM-class serving and quantization

🏖️ Benefits

• 100% company-paid medical, dental, and vision plans • Unlimited Flexible Time Off • Personalized career roadmap for each US employee • Professional development through training and educational opportunities • Support for employees' and families' physical, mental, and emotional well-being