6 data science jobs found in Santa Clara, CA

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. We are looking for a marketing professional with a technical background to join our product marketing team. In this role, you will help data scientists and data engineers realize the value of accelerated computing for data science, data analytics, and...

We are now looking for a Senior Research Scientist for Generative AI! NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products. What you'll be doing: Conduct original research in the space of generative AI Implement and train large-scale generative AI models for various content creation applications Collaborate with other research team members, a diverse set of internal product teams, and external researchers...

At NVIDIA, our mission is to transform industries through the power of accelerated computing and artificial intelligence. For more than two decades, we have pioneered visual computing and redefined how technology solves the world’s most complex problems. Today, our GPUs and AI platforms empower breakthroughs in deep learning, robotics, healthcare, self-driving cars, and more. Within our global IT organization, the IT PMO acts as the Strategy & Planning Office, encouraging alignment across IT programs, portfolios, and central initiatives. We are launching a new IT Data Analytics & Insights Org to define, manage, and scale the analytics platforms, metrics, and dashboards used to measure IT efficiency. This is a Director-level position. Initially, the role will involve hands-on work, blending technical tasks with long-term vision. As the groundwork is laid, the Director will take on the task of forming and overseeing an effective team. Duties include designing...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support). 5 years of experience in full cycle SAP implementations. 5 years of experience designing and implementing finance, Enterprise Resource Planning (ERP), or supply chain systems. Preferred qualifications: Master's degree or equivalent practical experience. 10 years of experience in full cycle SAP implementations and support projects. Experience with SDLC phases, including requirements gathering, blueprinting, authoring functional specifications, system configuration, testing, etc. Understanding of order management, booking, or product fulfillment processes. Excellent problem solving, people management, and communication skills, with a demonstrable bias toward action. Experience with SAP BRIM (SOM, CI). About...

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for...

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Demonstrate subject matter expertise in advanced GPU & network systems and...