Senior Data Scientist – Finance

NVIDIA•Santa Clara, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, a legacy fueled by innovation and amazing people. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. The company fosters a diverse, supportive environment where everyone is inspired to do their best work. Join NVIDIA as a Senior Data Scientist on the Finance Data Science and AI team, where you will work alongside Data Scientists, Data Engineers, and AI developers to lead the integration of innovative Data Science and AI solutions into financial processes. The role seeks an experienced Data Scientist who can challenge the status quo, constantly innovate, break down complex problems, and effectively communicate technical solutions across organizations.

Requirements

5+ years of professional experience in business-centered AI and Data Science, with a demonstrated history of implementing models in production environments.
Hands-on experience developing custom agents and multi-agent systems; proficiency with AI-native development tools (e.g., Cursor, Claude Code) and agent orchestration frameworks.
BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
Strong technical skills, with a proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, & Databricks (or similar).
Data Science project management experience, including collaborating closely with multiple collaborators to drive projects and coordinating resources within the organization.
Excellent communication skills, with the ability to document and present complex technical findings and project status to technical and business collaborators.

Nice To Haves

Operations finance or other applied, business-focused data science experience, especially at a larger company or in the semiconductor/tech industry.
A history of creative solutions bringing to bear data science and agentic technologies to resolve legacy bottlenecks, improve decision making, and add business value to an organization.
Development background with NVIDIA software libraries and GPUs, and OpenACC, CUDA optimization experience.

Responsibilities

Combine business insight and the data science toolkit to support critical finance data science initiatives using traditional machine learning, Bayesian statistics, simulation, and optimization.
Integrate AI tools and Agents into data science workflows, experimenting with new technology to determine where it can add organizational value.
Translate technical solutions into business terms and business requests into technical solutions.
Ensure both technical and nontechnical collaborators understand the value, risks, and return on investment of Data Science projects.
Experiment with new technologies in the Generative AI space to identify high-value organizational use cases, from automated auditing to predictive forecasting.