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Nvidia Data Scientist Jobs in California (NOW HIRING)

Winaxis

Data Scientist

Santa Clara, CA · On-site

Data Scientist - Nvidia Santa Clara from day 1 must be on-site 2nd round of interview will be F2F - Onsite at Santa Clara. ANY VISA Must have a strong and active LinkedIn profile. Worked with good ...

Nvidia

Senior Product Marketing Manager

Santa Clara, CA · On-site

$142K - $186K/yr

We are looking for a Product Marketing Manager to join the NVIDIA Data center product marketing ... Undergraduate education or equivalent experience in computer science, computer engineering, or a ...

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Nvidia Data Scientist information

See California salary details

$45.4K

$162.9K

$240.3K

How much do nvidia data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for nvidia data scientist in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a Nvidia data scientist?

A Nvidia Data Scientist leverages AI, machine learning, and deep learning to develop models and algorithms that optimize GPU-accelerated computing solutions. They work with large datasets, conduct research, and build scalable data-driven solutions for industries like gaming, autonomous vehicles, and healthcare. Their role involves collaborating with engineers and researchers to improve AI frameworks and performance on Nvidia hardware. Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and data analytics is essential.

What types of projects does a Nvidia data scientist typically work on, and how do they contribute to the company's core technologies?

Nvidia Data Scientists are often involved in pioneering projects related to AI model development, computer vision, natural language processing, and deep learning applications optimized for GPU hardware. They collaborate closely with research engineers, software developers, and product teams to create scalable AI solutions that enhance Nvidia’s products, ranging from gaming to autonomous systems. A typical week might involve experimenting with new algorithms, analyzing large datasets, optimizing code for GPU acceleration, and translating research breakthroughs into practical applications. This role offers continuous learning opportunities and plays a direct part in shaping industry-leading technologies.

What are the key skills and qualifications needed to thrive as a Nvidia data scientist, and why are they important?

To thrive as an Nvidia Data Scientist, you need a solid background in statistics, machine learning, computer science, and typically a graduate degree in a related field. Proficiency with Python, deep learning frameworks (such as TensorFlow or PyTorch), GPU computing, and experience with large-scale data systems are highly valued, along with relevant certifications. Analytical thinking, strong problem-solving abilities, and clear communication are soft skills that set candidates apart in this collaborative, fast-evolving field. These capabilities are essential for driving innovation, building robust AI solutions, and contributing effectively to cross-functional teams at Nvidia.

What are the most commonly searched types of Nvidia Data Scientist jobs in California?

The most popular types of Nvidia Data Scientist jobs in California are:

What are popular job titles related to Nvidia Data Scientist jobs in California?

For Nvidia Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Nvidia Data Scientist jobs in California look for?

The top searched job categories for Nvidia Data Scientist jobs in California are:

What cities in California are hiring for Nvidia Data Scientist jobs?

Cities in California with the most Nvidia Data Scientist job openings:

Nvidia Data Scientist jobs near you
Infographic showing various Nvidia Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Scientist

Winaxis

Santa Clara, CA • On-site

Contractor

Re-posted 13 days ago

Job description

Data Scientist - Nvidia
 
Santa Clara from day 1 must be on-site
 
2nd round of interview will be F2F – Onsite at Santa Clara.
 
ANY VISA
 
Must have a strong and active LinkedIn profile. Worked with good companies.
 
Exp: 8-10 years
Must-Have Power BI experience
Must be able to look into data, analyze the data, understand the ambiguities, and work closely with functional teams to suggest solutions
Excellent in data analytics
Must have excellent communal skills