Principal Data Scientist - Cloud Gaming and AI

What you'll do

• Provide technical leadership, shape the technology roadmap, and guide teams delivering globally scaled GPU compute services.
• Design and deploy scalable AI/ML and real-time analytics solutions, including user diagnostics, LLM applications, and actionable insights.
• Apply forecasting, optimization, and predictive models to improve capacity management, server efficiency, latency, and user retention.

What they ask for

• Master’s/PhD or equivalent experience in a quantitative field such as Data Science, Statistics, Mathematics, Physics, or Operations Research.
• 15+ years of software experience for large-scale, reliable production deployments and 8+ years of proven experience in Statistics/AI/ML.
• Hands-on expertise with Python, SQL, Java, and modeling frameworks such as Scikit-learn, Pytorch, or TensorFlow.
• Experience with data storage and processing tools such as Spark, Pandas, or Delta Lake, including large-scale software in a big network.

Nice to have

• Experience in User Retention Modeling, LLMs, Time Series Forecasting, or Operations Research.

Pay

248,000 USD - 379,500 USD (base salary)

Tools

Python, R, Pandas, JupyterLab, Spark, SQL, Databricks, MLFlow

AI focus

Leads development and deployment of AI/ML and LLM solutions for real-time diagnostics, analytics, forecasting, capacity optimization, user retention, and engineering productivity.