Principal Data Scientist - Cloud Gaming and AI

About the role

NVIDIA's GeForce NOW service allows users to play high-quality PC games on various devices without needing a dedicated gaming PC or console. The service leverages NVIDIA's GPU technology, including proprietary architectures and software optimizations, to deliver efficient and high-quality experiences at high resolutions and frame rates with low latency.

Responsibilities

• Provide Technical Leadership to the team of Data Scientists and Engineers working on global deployment at scale of GPU Compute services.
• 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 domain knowledge 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, and LLM based Actionable Insight Generation solutions for Engineering And Management.
• Improve productivity of the org by wrangling petabytes of data using statistical/AI/ML/LLM models to provide actionable and real time insights.
• 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.
• Build innovative multi-agent self-learning Harnesses for improving engineering productivity for analytics and deployments.

Requirements

• Master’s/PhD or equivalent experience in Data Science, Statistics, Mathematics, Physics, Operations Research or related quantitative field.
• 15+ years of software experience for large-scale and reliable production deployments and 8+ years of proven experience in Statistics/AI/ML.
• Hands-on expertise in programming languages like Python, SQL, Java and modeling frameworks like Scikit-learn, Pytorch, 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.

Qualifications

• Experience with industry standard components and tools such as Python, R, Pandas, JupyterLab, Spark, SQL, Databricks, MLFlow, Delta Lake, Grafana, Kibana, Kubeflow, Elyra, Kubernetes, Gitlab, CI/CD, MLOps, Kafka, SQS, Kubernetes.

Skills

• Data Science
• Machine Learning
• Artificial Intelligence
• Big Data Processing
• Statistical Analysis
• Software Development
• Cloud Computing

Benefits

• Competitive salaries
• Generous benefits package
• Equity

Pay

Base salary range: 248,000 USD - 379,500 USD.

Schedule

Not specified.

Benefits

• Flexible work arrangements
• Health insurance
• Retirement plans
• Employee assistance programs
• Professional development opportunities

Contact Information

NVIDIA

Address: 600 Oracle Parkway, Santa Clara, CA 95054

Email: careers@nvidia.com

Phone: +1-800-123-4567