Join the NVIDIA GeForce NOW cloud team that allows users to play high-quality PC games on various devices, without the need for a dedicated gaming PC or console. NVIDIA's GeForce NOW service is built on top of our GPU technology, including our proprietary GPU architectures and software optimizations allowing efficient and high-quality experience even at high resolutions and fps and at industry leading low latencies.

Our team is building the Analytics solutions that encompass processing, visualization, analysis, anomaly detection, root cause and predictive modeling for both qualitative and quantitative data from millions of our end users. Our active projects include analysis for cloud gaming experience including streaming and launch experience, actionable cluster detection, effective personalized diagnostic recommendations, Chatbots, Retention analysis, outreach campaigns and constraint-optimized capacity management. You will wield the power of data and AI to help deliver a globally best-in-class cloud computing/streaming performance and experience. Our technology stack relies on industry standard components and tools (Python, R, Pandas, Jupyter-Lab, Spark, SQL, Databricks, MLFlow, Delta Lake, Grafana, Kibana, Kubeflow, Elyra, Kubernetes, Gitlab, CI/CD, MLOps, Kafka, SQS, Kubernetes)

• Provide Technical Leadership to the team of Data Scientists and Engineers working on global deployment at scale of GPU cloud computing platforms for Gaming, VR and AI applications.
• Work with Leadership and Stakeholders to understand top level requirements, build a tech roadmap, design solutions and guide the team to deliver results.
• Acquire and apply proven experience of the product and platform to lead the design, implementation, and deployment of AI/ML based solutions for generating actionable insights and real-time prescriptive analytic pipelines to drive optimal outcomes for production services.
• Build and Deploy real time and scalable solutions for real time User Diagnostics, LLM Chatbot, dynamic Suspicious Activity Detection, User feedback-based clustering and alerting.
• Improve productivity of the org by wrangling petabytes of data using statistical/AI/ML/LLM models to provide actionable and real time insights to Engineering and Business.
• Leverage pioneering Forecasting models and Constraint Optimization solvers to improve capacity management and deliver server efficiency and end-user latency.
• Leverage innovative ML/AI predictive models with explainability for User Retention/Churn and designing outreach campaigns.

• Master's/PhD or equivalent experience in Data Science, Statistics, Mathematics, Physics, Operations Research or related quantitative field
• 10+ years of proven experience in Statistics/ML/AI and 15+ years of software experience for large scale and reliable production deployments.
• Hands-on expertise in programming languages like Python, SQL, Java and modeling frameworks like Scikit-learn, Pytorch, and TensorFlow for large projects.
• Experience with common tools for data storage and processing (e.g. Spark, Pandas, Delta Lake) including drilling into problems of running large-scale software in a big network.
• Excellent verbal and written communication skills to convey rich data insights to non-Technical and Technical Stakeholders.
• An outstanding track record of successful past projects, as a lead, related to the research and application of data science at scale.
• Experience of User Retention Modeling, LLMs, Time Series Forecasting or Operations Research is a plus.