A master's or PhD degree in math, statistics, or computer science is required, along with experience analyzing complex data using statistics or machine learning. Proficiency in data scripting languages and programming languages is expected, as well as the ability to present results to upper management. Strong business analytical skills, interpersonal communication skills, and familiarity with SQL, Python, R, SAP IBP, and Anaplan are advantageous.

The Supply Chain Planning Intern at NVIDIA will be responsible for acquiring, cleaning, and structuring data, analyzing trends in complex data sets, creating prototypes using statistical and AI/ML techniques, and collaborating with cross-functional teams.

Data

Logistics

United States

San Francisco

Large

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Manufacturing & Electronics

NVIDIA

<ul><li>NVIDIA has continuously reinvented itself over two decades. Our 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.</li><li>NVIDIA IT Supply chain planning team responsible for executing Integrated business planning process through which the executive/leadership team continually achieves focus, alignment and synchronization among all supply chain functions in the organization.</li><li>We are looking for data scientist intern to assist in collecting, analyzing timeseries data, and interpret data sets to drive optimization and improve forecasting models. You apply a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future forecasts. Using machine learning, predictive analytics algorithms train on larger data sets and perform deeper analysis on multiple variables with minor changes in deployment.</li></ul>

Currently Studying

Masters

NVIDIA has continuously reinvented itself over two decades. Our 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.NVIDIA IT Supply chain planning team responsible for executing Integrated business planning process through which the executive/leadership team continually achieves focus, alignment and synchronization among all supply chain functions in the organization.We are looking for data scientist intern to assist in collecting, analyzing timeseries data, and interpret data sets to drive optimization and improve forecasting models. You apply a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future forecasts. Using machine learning, predictive analytics algorithms train on larger data sets and perform deeper analysis on multiple variables with minor changes in deployment.

Supply Chain Planning Intern, SAP IBP - Summer 2024

Requirements

Responsibilities

NVIDIA

Mission & Purpose