Senior Data Scientist – Finance

NVIDIA is hiring a Senior Data Scientist – Finance in Santa Clara, United States. It pays $152k-$230k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
Tools and skills the posting cites include Claude, Databricks and Cursor.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

claudedatabrickscursorclaude-code

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.

Applications for this job will be accepted at least until November 3, 2026.

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.

How we rate this

Senior Data Scientist – Finance at NVIDIA rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist – Finance is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $152k-$230k a year.
The role is based in US, CA, Santa Clara.
The job was posted on October 30, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ClaudeDatabricksCursorClaude Code

Also common in data scientist jobs at this level

LLM AWS Spark Deep learning PyTorch NLP

Pay

This job starts at: $152k
Typical data scientist job: $167k

This posting starts 9% below the typical data scientist job. See data scientist jobs

Questions you could be asked

What's a project where you used Claude hands-on?
Walk me through how you've used Databricks in your day-to-day work.
What are the limits of Cursor that you've run into, and how did you work around them?
What's a project where you used Claude Code hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: Claude, Databricks, Cursor, and Claude Code. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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