Principal Data Scientist - Cloud Gaming and AI

Details

Join the NVIDIA GeForce NOW cloud team that enables users to play high-quality PC games on multiple devices without a dedicated gaming PC or console. GeForce NOW is built on NVIDIA GPU architectures and software optimizations to deliver efficient, high-quality experiences at high resolutions and frame rates with industry-leading low latencies.

Our team builds diagnostic, prescriptive and AI-augmented analytics solutions for processing, visualization, anomaly detection, root-cause and predictive modeling for millions of end users. Active projects include real-time demand forecasting, constraint-optimized capacity allocation, dynamic per-session prescriptions, customer onboarding and Voice of Customer analytics, targeted outreach driven by retention models, personalized diagnostics, and an LLM chatbot. The technology stack uses industry-standard components and tools including Python, R, Pandas, JupyterLab, Spark, SQL, Databricks, MLflow, Delta Lake, Grafana, Kibana, Kubeflow, Elyra, Kubernetes, GitLab, CI/CD, MLOps, Kafka, and SQS.

Responsibilities

• Provide technical leadership to data scientists and engineers for global, large-scale GPU compute service deployments.
• Collaborate with leadership and stakeholders to gather high-level requirements, build technical roadmaps, design solutions, and guide delivery.
• Acquire and apply domain knowledge of the product and platform to lead design, implementation, and deployment of AI/ML solutions that generate actionable insights and real-time prescriptive analytic pipelines for production services.
• Build and deploy real-time, scalable solutions for user diagnostics, LLM chatbot, dynamic suspicious activity detection, feedback-based clustering/alerting, and LLM-based actionable insight generation for engineering and management.
• Process and wrangle petabytes of data using statistical, AI/ML and LLM models to deliver actionable, real-time insights and improve organizational productivity.
• Apply forecasting models and constraint-optimization solvers to improve capacity management, server efficiency, and end-user latency.
• Develop ML/AI predictive models with explainability for user retention/churn and design targeted outreach campaigns.
• Create innovative multi-agent self-learning harnesses to improve analytics and deployment productivity.

Requirements

• Master's/PhD or equivalent experience in Data Science, Statistics, Mathematics, Physics, Operations Research, or a related quantitative field.
• 15+ years of software experience delivering 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, and TensorFlow for large projects.
• Experience with data storage and processing tools (e.g., Spark, Pandas, Delta Lake) and operating large-scale software across big networks.
• Strong verbal and written communication skills to convey complex data insights to technical and non-technical stakeholders.
• Demonstrated track record leading successful, large-scale data science projects.
• Experience in user retention modeling, LLMs, time series forecasting, or operations research is a plus.

Benefits

• Competitive base salary range: 248,000 USD - 379,500 USD (final base depends on location, experience, and comparable pay).
• Eligibility for equity and company benefits.

Additional details

• Applications accepted at least until June 26, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment and does not discriminate based on protected characteristics.

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