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Nvidia Data Scientist Jobs in Virginia (NOW HIRING)

... and data science, who are seeking opportunities to use their deep technical knowledge and ... Experience running models on NVIDIA GPUs * Experience containerizing and deploying software using ...

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

... and data science, who are seeking opportunities to use their deep technical knowledge and ... Experience running models on NVIDIA GPUs * Experience containerizing and deploying software using ...

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

... data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML ... NVIDIA GPU ecosystems * Vector databases #ASBA #NMEC-Leidos If you're looking for comfort, keep ...

... and data science, who are seeking opportunities to use their deep technical knowledge and ... Experience running models on NVIDIA GPUs * Experience containerizing and deploying software using ...

... and data science, who are seeking opportunities to use their deep technical knowledge and ... Experience running models on NVIDIA GPUs * Experience containerizing and deploying software using ...

Bachelor's degree in computer science, information systems, engineering, data science, geospatial ... Experience supporting model integration, ML pipelines, scalable inference services, NVIDIA Triton ...

Showing results 21-40

Nvidia Data Scientist information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do nvidia data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for nvidia data scientist in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 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 Virginia?

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

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

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

Infographic showing various Nvidia Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Engineer with Security Clearance

Booz Allen Hamilton

Arlington, VA • On-site

$62K - $141K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Job Number: R0245613 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: * Experience in data engineering, pipeline development, systems administration or software engineering
* Experience with ETL operations
* Experience with source control and collaboration sof tware, including Git or Atlassian tools
* Experience writing sof tware in programming languages, including Python
* Knowledge of relational and non-relational database technologies, including SQL or GraphQL
* Knowledge of automation and scripting on Linux or Windows operating systems
* Ability to obtain a Secret clearance
* Scheduled to obtain Bachelor's degree by December 2026 Nice If You Have: * Experience deploying analytics workloads on a platform as a service ( PaaS ) and sof tware as a service ( SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service
* Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
* Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
* Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders
* Experience developing and deploying large-scale batch and stream analytics pipelines
* Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and sof tware engineers
* Experience with DoD information systems
* Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Sof tware Engineering, Electrical Engineering, or Physics
* Cloud Development Certification, including AWS Solutions Architect or Azure Certification
* Information Security Certification, including Security+ or CISSP Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
* Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
* Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914