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Entry Level Nvidia Data Scientist Jobs in Virginia

Arcfield

Data Scientist I

Chantilly, VA · On-site

Responsibilities Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve ...

Pwc

AI & GenAI Data Scientist - Manager

Richmond, VA · On-site

$99K - $232K/yr

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

IBM

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

Your role and responsibilities As a Federal Associate Data Scientist 2027 at IBM, you will work to ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

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Entry Level Nvidia Data Scientist information

What does an entry level Nvidia data scientist do?

An Entry Level Nvidia Data Scientist works on analyzing large datasets, developing machine learning models, and leveraging Nvidia's GPU technologies for data processing and AI applications. They collaborate with other engineers and researchers to optimize algorithms for performance on Nvidia hardware. Their responsibilities may include data cleaning, exploratory data analysis, model training, and helping integrate AI solutions into products or services. This role provides opportunities to learn advanced tools and techniques while contributing to cutting-edge projects in AI and deep learning.

What types of projects and data sets can an entry level Nvidia data scientist expect to work on?

As an entry-level Nvidia Data Scientist, you will likely work on projects involving large-scale data analysis, machine learning model development, and AI algorithm optimization. Common tasks include processing GPU-accelerated data, collaborating with engineering teams to test and validate models, and contributing to performance benchmarking. You'll often work with diverse data sets, such as image, video, or sensor data, and participate in cross-functional team meetings. This collaborative environment provides valuable exposure to innovative technologies and offers opportunities to expand your expertise in deep learning and high-performance computing.

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

To thrive as an Entry Level Nvidia Data Scientist, you need a strong background in statistics, machine learning, and programming (typically Python or C++), usually supported by a relevant degree in computer science, data science, or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), GPU programming (CUDA), and data visualization tools is highly valued, along with any related certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate across technical and business teams. These skills and qualities are vital for extracting actionable insights from complex data and contributing to innovative AI and computing solutions at Nvidia.

What is the difference between Entry Level Nvidia Data Scientist vs Entry Level Nvidia Data Analyst?

AspectEntry Level Nvidia Data ScientistEntry Level Nvidia Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of machine learning and programmingBachelor's in Statistics, Business, or related field; proficiency in data visualization and SQL
Work EnvironmentDeveloping models, analyzing complex data, collaborating with data science teamsData reporting, cleaning, and visualization tasks within business units
Employer & Industry UsageTech companies, AI research, hardware/software developmentBusiness analytics, marketing, finance within Nvidia or partner organizations

Entry Level Nvidia Data Scientist focuses on building predictive models and applying machine learning techniques, while Entry Level Nvidia Data Analyst primarily handles data reporting and visualization. Both roles require strong analytical skills, but data scientists work more on developing algorithms, whereas data analysts focus on interpreting data for business insights.

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 Entry Level Nvidia Data Scientist jobs in Virginia?

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

What job categories do people searching Entry Level Nvidia Data Scientist jobs in Virginia look for?

The top searched job categories for Entry Level Nvidia Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Nvidia Data Scientist jobs?

Cities in Virginia with the most Entry Level Nvidia Data Scientist job openings:

Entry Level Nvidia Data Scientist jobs near you
Infographic showing various Entry Level Nvidia Data Scientist job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist I

Chantilly, VA • On-site

Arcfield
IT Services • 1 - 5K employees
Learn more about Arcfieldexternal

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago

Job description

Responsibilities
Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve decision-making, driving innovation, optimizing operations, and adding measurable value to our customer's Ground Enterprise.
The ideal candidate will be able to combine technical know-how with business acumen to create impactful solutions. Duties include but are not limited to the following:
  • Working on assignments requiring considerable judgment and initiative
  • Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises computing environments
  • Support pipeline development for data, software, and algorithm delivery to ensure reliability, security compliance, and seamless integration across domains
  • Support project development by visualizing, analyzing, trending, and providing metrics for Systems Program Office -level projects
  • Provide technical support for research, development, and the systematic transition of advanced data fusion, analytics, and automated workflow solutions to operational environments
  • Draft solutions to routine technical problems
  • Assist with developing and executing data management plans and policies
  • Perform analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
  • Participate in large-scale analysis of unstructured data for high-value use cases visualized through multi-dimensional interfaces
  • Handle processing and indexing requests for both high-volume data collections and high-velocity data streams
  • Identify insights, patterns, and trends in big data environments using computational and technical skills
  • Assist with designing, developing, and deploying sophisticated applications using advanced unstructured or semi-structured data analysis techniques
  • Interpret, connect, predict, and deliver actionable recommendations based on complex data analysis
  • Support data transportation and transformation tasks

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI clearance with polygraph
  • BS 0-2 Years of HS 6-8
  • Interest in solving technical problems; Strong analysis skills
  • Good presentation and communication skills
  • Ability to work independently and within a team environment
  • Experience with or understanding of cloud-based tools for data analysis

Desired:
  • Degree in Engineering (e.g. aerospace, mechanical, electrical, computer/software), Computer Science, Data Science, Imaging Science, Mathematics, Physics or other related technical fields
  • Interest in writing code; High degree of computer literacy
  • Experience in applying machine learning techniques, algorithm analysis, and data clustering
  • Experience with utilizing open-source textual processing tools for data processing tasks
  • Demonstrated experience with employing visual analytic tools for data interpretation
  • Experience with applying entity extraction and conceptual search technologies
  • Experience with Unix/Linux Scripting
  • Experience with Python, C/C++, Fortran, or similar
  • Experience with MS Excel, Python, R, MATLAB, or similar
  • Experience with Data Mining, Analysis, Statistics, Performance Analysis, or Predictive Analytics and Reporting using various methods and tools
  • Ability to demonstrate experience in software development using platforms like:
    • Open-source enterprise software (e.g., Java, Linux, Ruby, Python)
    • Windows development stack (e.g., .NET, C#, C++)

Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield 's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $66,456.39 Max: $115,554.76
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

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