3 analytics jobs found in Santa Clara, CA

NVIDIA’s 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. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? Our team is building an innovative Data Platform that employs advanced analytics, including prescriptive modeling and constrained optimization, for real-time routing and scheduling at scale. This platform encompasses data collection, processing, visualization, analysis, anomaly detection, root cause identification, and predictive modeling. Our data includes GPU...

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...