Nvidia Principal Data Scientist - Cloud Gaming AI 

United States, Texas 

923679971

What you'll be doing:

• 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 usingstatistical/AI/ML/LLM

• 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.

What we need to see:

• 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.