NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA as a Senior Data Scientist on our Finance Data Science and AI team, where you will work alongside Data Scientists, Data Engineers, AI developers to lead the integration of innovative Data Science and AI solutions into our financial processes. We are looking for an experienced Data Scientist to challenge the status quo, constantly innovate and break down complex problems, and communicate technical solutions effectively across organizations.
What you'll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 5+ years of professional experience in business-centered AI and Data Science, with history of implementing models in production
- 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
- Proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, and Databricks (or similar)
- Data Science project management experience, including cross-functional collaboration and resource coordination
- Excellent communication skills for documenting and presenting technical findings to technical and business stakeholders
- Technical Master's or Ph.D. with a finance or business background
- Operations finance or applied business-focused data science experience, especially at larger tech/semiconductor companies
- Experience with NVIDIA software libraries, GPUs, OpenACC, and CUDA optimization
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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