NVIDIA
Senior Data Scientist – Finance
$152K–$264K
US, CA, Santa Clara · Senior · Full-time · Posted Oct 30, 2026
- Experience
- 5+ years of professional experience in business-centered AI and Data Science.
- Education
- BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
About the job
Leads the development and integration of data science and AI solutions into finance processes, including production models, AI agents, and generative AI use cases.
What you'll do
- Apply machine learning, Bayesian statistics, simulation, and optimization to finance initiatives.
- Integrate AI tools and agents into data science workflows and assess generative AI use cases.
- Translate between business needs and technical solutions, communicating project value, risks, and status.
What they ask for
- 5+ years of professional experience in business-centered AI and Data Science, including implementing models in production.
- Hands-on experience developing custom agents and multi-agent systems; proficiency with AI-native development tools and agent orchestration frameworks.
- Strong skills designing, validating, deploying, and maintaining data science models using Python, SQL, and Databricks or similar.
- Data science project management experience and excellent communication skills.
Nice to have
- Technical Master’s or Ph.D. with a finance or business background.
- Operations finance or other applied business-focused data science experience; NVIDIA software libraries, GPUs, OpenACC, or CUDA optimization experience.
Pay
152,000 USD – 230,000 USD (base salary, Level 3); 168,000 USD – 264,500 USD (base salary, Level 4)
Tools
Python, SQL, Databricks, Cursor, Claude Code, OpenACC, CUDA
AI focus
Integrates AI tools and agents into data science workflows; develops custom and multi-agent systems; explores generative AI applications such as automated auditing and predictive forecasting.
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