Lead Data Scientist, AI & Cloud Gaming Visionary

NVIDIA Corporation; United States; On-site; USD 248,000 - 380,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in the United States is seeking a senior data science and AI leader to provide technical leadership to a global team deploying AI/ML solutions at scale for GPU compute services. You will design roadmaps, guide real-time analytics, and build predictive models that drive capacity, user diagnostics, and proactive insights.

Equity and comprehensive benefits accompany a competitive base salary. The role requires advanced degrees and 15+ years of software experience with ML frameworks, Spark,

Qualifications

• 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.

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.

Skills

Leadership

Data Science

Statistics

Mathematics

Operations Research

Communication

Problem solving

Education

Master's or PhD in Data Science/Statistics/Math/Physics/OR

PhD or equivalent experience

Tools

Python

SQL

Java

Scikit-learn

PyTorch

TensorFlow

Spark

Pandas

Delta Lake

Grafana

Kibana

Kubeflow

Kubernetes

Gitlab

CI/CD

MLOps

Kafka

SQS

Job description

NVIDIA in the United States is seeking a senior data science and AI leader to provide technical leadership to a global team deploying AI/ML solutions at scale for GPU compute services. You will design roadmaps, guide real-time analytics, and build predictive models that drive capacity, user diagnostics, and proactive insights.

Equity and comprehensive benefits accompany a competitive base salary. The role requires advanced degrees and 15+ years of software experience with ML frameworks, Spark,