NVIDIA has been redefining 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 encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is hiring a senior data scientist within the Finance Data Science and AI team. You will work alongside data scientists, data engineers, AI developers, finance, and other business partners integrating data science and AI into our business 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

Blend business insights and the data science toolkit to support critical finance data science initiatives with traditional machine learning, Bayesian statistics, simulation, and optimization.
End-to-end data science, from ideation to development to deployment and ML Ops. Understand finance priorities and help the finance team use data science to move the needle on business problems.
Integrate AI tools and Agents into data science workflows, and vice versa. Experiment with new technology and understand where it can add organizational value.
Translate technical solutions into business language and business requests into technical solutions, communicating with technical and nontechnical business partners to make sure solutions are understood by all involved and meet business needs.
Partner with multiple levels and teams across organizations (Finance, Engineering, Product, Sales, and Marketing teams).

What We Need To See

Professional, long-term experience as a Data Scientist (focused on AI/ML) developing/supporting business facing projects.
8+ years of experience, including 5+ years of demonstrated ability in business-focused AI and Data Science. Job scope can be adjusted to accommodate more experienced candidates.
BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields. Technical Master’s or Ph.D. with finance or business background is preferred.
Data Science project management, driving projects and coordinating across multidisciplinary teams inside the organization.
Strong technical skills, with a proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, & Databricks (or similar).
Excellent communication skills, with the ability to maintain good documentation and present projects to technical and business partners.

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 semi / tech industry.
A history of creative solutions using data science to add business value to an organization.
Development background with NVIDIA software libraries and GPUs, and OpenACC, CUDA optimization experience.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, ambitious and enjoy having fun, then what are you waiting for apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse 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.

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