Senior Data Scientist – Finance

NVIDIA•Us, CA

14h

About The Position

Join NVIDIA as a Senior Data Scientist on our Finance Data Science and AI team, where you will work alongside Data Scientists, Data Engineers, AI developers to lead the integration of innovative Data Science and AI solutions into our financial processes. We are looking for an experienced Data Scientist to challenge the status quo, constantly innovate and break down complex problems, and communicate technical solutions effectively 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

Technical Master’s or Ph.D. with a finance or business background is preferred.
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.