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Contractual Nvidia Data Scientist Jobs (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 ...

Nvidia

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large ... Scientist to join our team and help advance our capabilities in synthetic data generation for ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... contractual requirements which may cause an offer to fall outside of this range.

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... contractual requirements which may cause an offer to fall outside of this range.

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Contractual Nvidia Data Scientist information

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$46K

$165K

$243.5K

How much do contractual nvidia data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for contractual nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a contractual Nvidia data scientist do?

A Contractual Nvidia Data Scientist is a professional hired on a contract basis to work with Nvidia’s data science teams or on Nvidia-related projects. Their primary responsibilities include analyzing large datasets, developing machine learning models, and leveraging Nvidia's GPU technologies to optimize data processing and AI workflows. They may also collaborate with engineers and researchers to create solutions in fields like deep learning, computer vision, or natural language processing. This role typically requires strong programming and analytical skills, as well as experience with Nvidia’s software and hardware platforms.

What are the key skills and qualifications needed to thrive as a contractual Nvidia data scientist?

To thrive as a Contractual Nvidia Data Scientist, you need a strong background in data science, machine learning, and programming languages such as Python or C++, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with Nvidia's GPU computing platforms (like CUDA), deep learning frameworks (such as TensorFlow or PyTorch), and certifications in data science or AI are typically required. Excellent problem-solving abilities, adaptability, and effective communication skills help you collaborate with teams and convey complex findings to stakeholders. These skills are essential for efficiently developing, optimizing, and deploying advanced AI solutions that leverage Nvidia's technologies in dynamic project environments.

What are some common challenges faced by contractual Nvidia data scientists when working on short-term projects?

Contractual Nvidia Data Scientists often need to quickly adapt to new teams and project objectives, which can be challenging given the rapid pace of short-term engagements. They may encounter limited access to company-specific datasets or proprietary tools, requiring strong problem-solving skills and flexibility. Additionally, clear communication and efficient collaboration with both technical and non-technical stakeholders are crucial, as time constraints demand fast, impactful contributions. Despite these challenges, such roles offer opportunities to work on cutting-edge AI projects and build a diverse professional portfolio.
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Contractual Nvidia Data Scientist jobs near you
Infographic showing various Contractual Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Winaxis

Santa Clara, CA • On-site

Contractor

Re-posted 7 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