Principal Data Scientist - Cloud Gaming and AI

at Nvidia

📍 Santa Clara, United States

$248,000-379,500 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 4 SQL @ 4 Spark @ 4 Statistics @ 4 Java @ 4 Data Science @ 4 scikit-learn @ 4 TensorFlow @ 4 Leadership @ 4 Communication @ 4 Mathematics @ 4 Technical Leadership @ 4 LLM @ 4 PyTorch @ 4 Pandas @ 4

Details

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.

Responsibilities

  • 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.

Requirements

  • 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.

Benefits

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. You will also be eligible for equity and benefits.