This role pays more than
98%
of similar roles. Most pay
$126,800–$190,600
— the shaded band above.
At the midpoint, this role pays about
$314k
versus about
$159k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
942 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 931 roles with salary data.
As a Senior Data Scientist or Lead Engineer on NVIDIA’s GeForce NOW cloud team, you will lead the development and deployment of advanced diagnostic, prescriptive, and AI-augmented analytics solutions to enhance user experience and performance. Your responsibilities include designing scalable real-time forecasting models, constraint-optimized capacity allocation systems, and dynamic prescription pipelines for millions of users globally. You’ll work closely with leadership and stakeholders to build a tech roadmap and guide the team in delivering cutting-edge solutions using Python, R, Pandas, JupyterLab, Spark, SQL, Databricks, MLFlow, Delta Lake, Grafana, Kibana, Kubeflow, Elyra, Kubernetes, Gitlab, CI/CD, MLOps, Kafka, and SQS. With a master’s or PhD in Data Science, Statistics, Mathematics, Physics, Operations Research, or related fields, you’ll bring extensive experience in large-scale production deployments and hands-on expertise with Python, SQL, Java, Scikit-learn, Pytorch, TensorFlow, Spark, Pandas, Delta Lake, and more. Your role will involve wrangling petabytes of data to provide actionable insights, improving server efficiency through innovative forecasting models, and designing outreach campaigns based on user retention modeling and LLMs.