Senior Data Scientist - DGX Cloud

NVIDIA, the world leader in accelerated computing, is seeking a Senior Data Scientist for their DGX Cloud team. This role combines cutting-edge machine learning and data science with practical applications in cloud infrastructure optimization. The position offers an exciting opportunity to work with NVIDIA's advanced GPU technology and cloud platforms.

The role involves developing sophisticated models for infrastructure optimization, applying ML/AI techniques to enhance GPU productivity in data centers, and creating scalable data processing solutions. You'll be working with a modern tech stack including Hadoop/Hive, Spark, ELK, and various database technologies.

As a Senior Data Scientist, you'll be instrumental in turning data into actionable insights that drive business decisions. The position requires expertise in machine learning algorithms, deep learning models, and system architecture, combined with strong communication skills to work effectively across distributed teams.

NVIDIA offers a competitive compensation package with a base salary range of $220,000 to $419,750 USD, plus equity and benefits. The company is at the forefront of groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization, making it an ideal environment for ambitious data scientists looking to make an impact.

The role requires 12+ years of professional experience, demonstrating NVIDIA's commitment to bringing in seasoned professionals who can contribute significantly to their mission of advancing technology. You'll be joining a forward-thinking team in a company that's driving innovations in artificial intelligence and autonomous systems.

Working at NVIDIA means being part of a team that's pushing the boundaries of technology. Whether working remotely or from the Santa Clara office, you'll have the opportunity to contribute to projects that are transforming industries and solving complex technological challenges. The company's culture promotes creativity, autonomy, and innovation, making it an excellent choice for data scientists who want to work on cutting-edge projects with real-world impact.