Senior Data Scientist

NVIDIA is hiring a Senior Data Scientist for its Finance Data Science and AI team in Santa Clara, CA (onsite). In this role, you will integrate Data Science and AI solutions into financial workflows, helping translate analytics into measurable outcomes for both technical teams and business stakeholders. The position combines model development with practical experimentation across ML, Bayesian methods, simulation, optimization, and generative AI and agents.

Compensation: USD 152,000 - 264,500 per year. Expected base salary ranges include 152,000–230,000 USD for Level 3 and 168,000–264,500 USD for Level 4. Base salary is determined based on location, experience, and other objective, job-related factors.

Responsibilities

• Apply business context alongside data science methods to support 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 identify where it can create organizational value.
• Translate technical solutions into business terms and convert business requests into technical plans, helping technical and nontechnical collaborators understand value, risks, and ROI.
• Conduct Generative AI experiments 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, including a demonstrated history of implementing models in production.
• Hands-on experience building custom agents and multi-agent systems, with proficiency in AI-native development tools such as Cursor and Claude Code and experience with agent orchestration frameworks.
• BS/MS/PhD (or equivalent) in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or another Engineering field. Technical Master’s or Ph.D. with a finance or business background is preferred.
• Strong technical skills for designing, validating, deploying, and maintaining data science models using Python, SQL, and Databricks (or similar).
• Data science project management experience, including close collaboration with multiple stakeholders and coordination of organizational resources.
• Excellent communication skills, with ability to document and present complex findings and project status to both technical and business collaborators.

Technologies

• Python
• SQL
• Databricks
• Cursor
• Claude Code

Benefits

• Equity
• Benefits

Ways to Stand Out

• Operations finance or other applied, business-focused data science experience, especially at a larger company or in the semiconductor/tech industry.
• Evidence of creative, data science and agentic solutions that address legacy bottlenecks, improve decision making, and add business value.
• Experience with NVIDIA software libraries and GPUs, plus OpenACC and CUDA optimization.

Applications: Accepted at least until November 3, 2026.