Senior Data Scientist - Cloud Gaming

Details

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." Our team is building the Data Platform that encompasses collection, processing, visualization, analysis, anomaly detection, root cause, predictive modelling and constrained optimization for real-time routing and scheduling at scale. Our data sources include traditional personal computers, servers, mobile devices and distributed Web services. Active projects include analysis for cloud gaming experience, user behavior profiling, user base segmentation, actionable cluster detection, effective personalized recommendations, lifetime value analysis, capacity management, scheduling and subscription churn analysis, time-series forecasting, decision making models, resource allocation and latency minimization.

The team leverages industry standard components: Kubeflow, Apache Spark, Databricks, MLflow, Delta Lake, Grafana, Elastic Search, Python, SQL, Google OR-Tools.

Responsibilities

• Build and deploy scalable ML/AI models to optimize demand forecasting, capacity allocation and user-specific feature engineering for real-time cloud gaming services.
• Improve and deploy real-time prescriptive scheduling pipelines to maximize capacity utilization and user retention.
• Acquire and apply domain knowledge of the product and software stack to identify and resolve data inconsistencies and improve model performance.
• Develop reusable framework deployments for data ingestion, processing and analysis.
• Identify, analyze, and interpret trends or patterns in complex data sets using supervised and unsupervised learning techniques.
• Wrangle petabytes of data to provide actionable insights to business and engineering teams and improve organizational productivity.
• Work with a variety of stakeholders to understand requirements, design solutions, and guide delivery.
• Leverage agentic AI to deliver programming solutions and improve development productivity.

Requirements

• BS/MS (with 5+ years experience) or PhD in Data Science, Computer Science, Operations Research, Statistics, or related quantitative fields.
• Strong background knowledge and practical experience in probability, statistics, and AI/ML.
• Outstanding track record of past projects related to research and application of data science.
• Strong coding skills with ability to write readable, testable, maintainable, and extensible code (primarily Python).
• Experience with common tools for data storage and processing and experience running large-scale software in big networks.
• Strong experience in data cleaning, aggregation, transformation, and extraction.
• Good interpersonal and presentation skills for working with multiple partners.
• Experience with time series analysis is a plus.
• Experience in active ML production pipelines is a plus (MLflow, Kubeflow).

Benefits

• Competitive base salary (range listed below), eligibility for equity and additional benefits.
• NVIDIA offers a generous benefits package and is an equal opportunity employer committed to diversity.
• Applications for this job will be accepted at least until August 23, 2025.

Compensation

• Base salary range: 152,000 USD - 230,000 USD.