Used Tools & Technologies
GPU GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 7
SQL @ 7
Statistics @ 4
Machine Learning @ 4
Data Science @ 4
Communication @ 4
Mathematics @ 4
Databricks @ 7
Project Management @ 4
CUDA @ 4
Claude Code @ 6
Generative AI @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today the company is tapping into the unlimited potential of AI to define the next era of computing. Join the Finance Data Science and AI team to lead integration of Data Science and AI solutions into financial processes, collaborating with Data Scientists, Data Engineers, and AI developers.
Responsibilities
- 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 ROI 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.
Requirements
- 5+ years of professional experience in business-centered AI and Data Science, with demonstrated history of implementing models in production environments.
- Hands-on experience developing custom agents and multi-agent systems; proficiency with AI-native development tools (examples given: 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 Masters or Ph.D. with a finance or business background is preferred.
- Strong technical skills, with history of designing, validating, deploying, and maintaining data science models using Python, SQL, and Databricks (or similar).
- Data Science project management experience, including collaborating closely with multiple stakeholders to drive projects and coordinate resources.
- 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
- Operations finance or other applied, business-focused data science experience, especially at a larger company or in the semiconductor/tech industry.
- History of creative solutions bringing data science and agentic technologies to resolve legacy bottlenecks, improve decision making, and add business value.
- Development background with NVIDIA software libraries and GPUs, and OpenACC or CUDA optimization experience.
Compensation & Other Details
- The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. Base salary will be determined based on location, experience, and pay of employees in similar positions.
- You will also be eligible for equity and benefits.
- Applications accepted at least until April 26, 2026.
- NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of protected characteristics.