Data Scientist Intern, Sales Operations - Summer 2025 at Nvidia Corporation in Santa Clara, California

Job Description:

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

NVIDIA Corporation is a top provider of cutting-edge GPU technology and AI solutions. We prioritize delivering outstanding solutions to our clients, with our Enterprise product lines being vital to our success. We are currently looking for a Data Scientist Intern to join our Sales Operations team in our go-to-market focused Worldwide Field Operations org. This role focuses on improving our global sales forecasting and demand planning processes through the application of data science and time series forecasting methods.

As a Data Scientist Intern, you will play a key role in developing and optimizing forecasting models that drive decision-making across global sales operations. You'll collaborate with cross-functional teams to automate data workflows, analyze sales trends, and build scalable tools that improve forecasting accuracy. This is an exciting opportunity to apply your technical expertise to real-world business challenges in a fast-paced environment!

What You'll Be Doing:

• Collaborate on machine learning and statistical models to improve demand planning and sales forecasts for Enterprise Sales Operations.
  
  


• Work with interdisciplinary partners to explore and integrate external and internal data sources into forecasting models.
  
  


• Process and analyze large datasets for model training & validation to ensure robust and accurate forecasts.
  
  


• Research competitor strategies and market trends, presenting findings with recommendations to improve forecasting.
  
  


• Explain technical solutions in clear, business-friendly terms so both technical and non-technical stakeholders can understand and agree on the best approach.
  
  

What We Need To See:

• Pursuing a Masters or PhD degree in a quantitative discipline, i.e. Data Science, Applied Math, Computer Science/Engineering or a related field.
  
  


• Relevant coursework and hands-on projects to demonstrate good understanding of ML, time series forecasting, and applied statistics
  
  


• Proficiency in SQL and either R or Python
  
  


• Excellent communication and problem-solving skills, with desire to build successful partnerships within all levels of the Company
  
  

Ways To Stand Out From The Crowd:

• Proven experience applying machine learning and time series models to tackle business problems
  
  


• Able to distill highly technical topics for non-technical partners
  
  


• Familiarity with Salesforce, SAP, cloud data platforms (i.e. Databricks), version control (Git)
  
  


• Experience in finance or sales operations
  
  

The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

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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