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Entry Level Nvidia Data Scientist Jobs in Virginia

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

This position is a great entry-level opportunity for new graduates who want hands-on dynamic ... BA/BS degree from an accredited college/university in Computer Science, Statistics, or Information ...

Constellis

DevOps Engineer

VA · On-site +1

$55.75 - $76.25/hr

Collaborate closely with developers, data scientists, and sensor integration teams to accelerate ... Hands-on experience with Jenkins, Nvidia GPU toolkits, or broader DevOps toolchains * Monitoring ...

Constellis

DevOps Engineer

VA · On-site +1

$55.75 - $76.25/hr

Collaborate closely with developers, data scientists, and sensor integration teams to accelerate ... Hands-on experience with Jenkins, Nvidia GPU toolkits, or broader DevOps toolchains * Monitoring ...

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ... A Bachelor's degree is required, with a preference for quantitative science or business disciplines ...

ManTech

Junior AI/ML Strategist

Arlington, VA · Hybrid

$98K - $163K/yr

Minimum Qualifications: * Bachelor's Degree in Business, Computer Science, Data Science ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

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Entry Level Nvidia Data Scientist information

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 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 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.
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Infographic showing various Entry Level Nvidia Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution.

Entry-Level Java Developer/Automation Tester

Science Applications International Corporation

Ashburn, VA • On-site

Full-time

Re-posted 13 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description


We are currently seeking a motivated, career and customer-oriented Java/JEE Developer (Entry Level) to join our team to begin an exciting and challenging career in Ashburn, VA. Please note that candidates will be required to be in an automation tester role for the first 12-18 months of their employment. This is so that the candidate will get up to speed with the team structure, applications, technology stack, work requirements, etc. The candidate will then graduate to a developer role on the team.
Job Responsibilities
  • Design, implement, and unit test REST web services with Java, Spring, and JUnit.
  • Develop web applications with Angular that communicate with backend services.
  • Generating test data and performing Data Validation by writing SQL queries.
  • Write automation test scripts using Java.
  • Work collaboratively within a large, Agile development team.

Qualifications
Required Skills and Experience
  • Bachelor's degree in computer science or related engineering field
  • Experience with Java/JEE design and software development experience including designing, developing, and documenting large-scale enterprise software systems
  • Spring Boot
  • REST web services
  • RxJS
  • Typescript
  • XML/JSON
  • RDBMS (e.g. Oracle or PostgreSQL)
  • SQL
  • JPA/Hibernate
  • Angular
  • HTML/Javascript/CSS
  • Knowledge of web application development required

Desired Skills and Experience
  • Master's degree in computer science or related field is a plus
  • Recent and relevant course projects, internships, co-ops, or personal work showcasing full stack development skills would be a plus
  • Experience with microservices architecture
  • Experience writing their own automation scripts
  • Experience with Selenium, Cucumber, Playwright
  • Experience with NoSQL databases
  • Familiar with AWS
  • Comfortable with Eclipse and Visual Studio Code
  • Agile development approach
  • Good communication skills (writing and presenting)
  • Strong initiative: must be able to take a high-level requirement, ask questions/seek clarifications, and get the job done
  • Ability to work in a high-pressured, tight-deadline environment
  • Superior written and oral communication skills are essential
  • Must be able to multitask efficiently and progressively and work comfortably in an ever-changing data environment
  • Must work well in a team environment as well as independently
  • Excellent verbal/written communication and problem solving skills; ability to communicate information to a variety of groups at different technical skill levels

Customer Requirements
  • Clearance - Ability to obtain and hold a public trust position and favorable suitability based on a CBP Background Investigation
  • Citizenship - Must be a US Citizen
  • Location - Required to be on-site in Ashburn, VA 5 days per week for the first year of employment. After their first year, they will have the option to work a hybrid schedule (2-3 days on-site) depending on the needs of the team.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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