Senior Data Scientist – Finance

NVIDIA•Santa Clara, CA

5d•$152,000 - $264,500

About The Position

NVIDIA is seeking a Senior Data Scientist to join its Finance Data Science and AI team. The role works alongside Data Scientists, Data Engineers, and AI developers to lead the integration of innovative Data Science and AI solutions into financial processes. The successful candidate will challenge existing approaches, innovate, break down complex problems, and communicate technical solutions effectively across the organization. The position combines business insight and data science methods to support critical finance initiatives, including traditional machine learning, Bayesian statistics, simulation, and optimization. It also involves integrating AI tools and agents into data science workflows, testing emerging technologies, and identifying valuable generative AI applications such as automated auditing and predictive forecasting. The role translates between business needs and technical solutions and communicates project value, risks, and return on investment to technical and nontechnical collaborators.

Requirements

At least 5 years of professional experience in business-centered AI and Data Science, including 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 such as Cursor or Claude Code and agent orchestration frameworks.
BS, MS, PhD, or equivalent experience in Computer Science, Data Science, Electrical or Computer Engineering, Physics, Mathematics, or another Engineering field.
Strong technical skills and a proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, and Databricks or similar tools.
Data Science project management experience, including collaborating with multiple collaborators to drive projects and coordinating organizational resources.
Excellent communication skills, including 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.
Operations finance or other applied, business-focused data science experience, especially at a larger company or in the semiconductor or technology industry.
A history of creative solutions using data science and agentic technologies to resolve legacy bottlenecks, improve decision making, and add business value.
Development experience with NVIDIA software libraries and GPUs.
OpenACC or CUDA optimization experience.

Responsibilities

Apply business insight and data science methods—including traditional machine learning, Bayesian statistics, simulation, and optimization—to finance data science initiatives.
Integrate AI tools and agents into data science workflows and evaluate their organizational value.
Translate technical solutions into business terms and convert business requests into technical solutions.
Communicate the value, risks, and return on investment of data science projects to technical and nontechnical collaborators.
Experiment with generative AI technologies to identify high-value organizational use cases, including automated auditing and predictive forecasting.
Design, validate, deploy, and maintain data science models.
Manage data science projects, collaborate with multiple stakeholders, and coordinate organizational resources.
Document and present technical findings and project status to technical and business collaborators.