Senior Data Scientist – Finance

Details

NVIDIA is applying AI to define the next era of computing, with GPUs powering computers, robots, and self-driving cars. The Finance Data Science and AI team partners with Data Scientists, Data Engineers, and AI developers to integrate innovative Data Science and AI solutions into financial processes.

The role requires an experienced Data Scientist who can challenge the status quo, innovate, break down complex problems, and communicate technical solutions effectively across organizations.

Responsibilities

• Combine business insight with data science techniques 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 and experiment with new technologies to determine where they can add organizational value.
• Translate technical solutions into business terms and business requests into technical solutions.
• Ensure technical and nontechnical collaborators understand the value, risks, and return on investment of Data Science projects.
• Experiment with generative AI technologies to identify high-value organizational use cases, including automated auditing and 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 such as Cursor and Claude Code, as well as agent orchestration frameworks.
• BS, MS, PhD, or equivalent experience in Computer Science, Data Science, Electrical or Computer Engineering, Physics, Mathematics, or another engineering field.
• A technical Master's degree or PhD with a finance or business background is preferred.
• Strong technical skills and a proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, and Databricks or similar technologies.
• Experience managing Data Science projects, collaborating closely with multiple stakeholders, driving 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.

Preferred Qualifications

• Operations finance or other applied, business-focused data science experience, particularly at a larger company or in the semiconductor or technology industry.
• A history of using creative data science and agentic technology solutions to resolve legacy bottlenecks, improve decision-making, and add business value.
• Development experience with NVIDIA software libraries and GPUs, including OpenACC and CUDA optimization.

Compensation and Benefits

The expected base salary ranges are USD 152,000–230,000 for Level 3 and USD 168,000–264,500 for Level 4. Base salary is determined by location, experience, and other objective job-related factors. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.