Senior Data Scientist – Finance

About the role

Join NVIDIA as a Senior Data Scientist on our Finance Data Science and AI team. You will work alongside Data Scientists, Data Engineers, and AI developers to lead the integration of innovative Data Science and AI solutions into our financial processes.

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.

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

Qualifications

• 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.

Skills

• Experience with traditional machine learning, Bayesian statistics, simulation, and optimization.
• Proficiency with AI-native development tools (e.g., Cursor, Claude Code).
• Experience with agent orchestration frameworks.
• Strong technical skills in Python, SQL, and Databricks (or similar).
• Experience with data science project management.
• Excellent communication skills.
• Experience with NVIDIA software libraries and GPUs, and OpenACC, CUDA optimization.

Benefits

• Comprehensive benefits package.
• Competitive salaries based on location, experience, and the pay of employees in similar positions.
• Eligibility for equity.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

Schedule

NVIDIA offers full-time employment.