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Entry Level Nvidia Data Scientist Jobs in Virginia

Pwc

AI & GenAI Data Scientist-Senior Associate

Richmond, VA · On-site

$77K - $202K/yr

... Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

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

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 ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Peraton

Image Scientist (Entry-level)

Springfield, VA

$80K - $128K/yr

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

... Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives missions of ...

SynergisticIT

Junior/Entry Level Coder - Remote

Richmond, VA · On-site

$66K - $86K/yr

Currently, we are looking for entry-level software programmers, Java full-stack developers, Python ... We want data science/machine learning/data analyst and Java stack candidates. For data science ...

Arcadis

Environmental Scientist

Bluefield, VA · On-site

$4.9K/wk

Arcadis is seeking an Entry Level Geologist or Environmental Scientist to join our team in ... The ideal candidate will bring hands-on experience in remediation field sampling and data ...

Arcadis

Environmental Scientist

Bluefield, VA

$4.9K/wk

Arcadis is seeking an Entry Level Geologist or Environmental Scientist to join our team in ... The ideal candidate will bring hands-on experience in remediation field sampling and data ...

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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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Entry Level Nvidia Data Scientist jobs near you
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.

Data Scientist Junior-Level 117-005

IC-CAP LLC

Springfield, VA • On-site

Full-time

Re-posted 13 days ago

Job description

Junior-Level Data Scientistsupports NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Implementing, part of team, executing tasks. These are still developmental labor positions. Services requiring junior level support will require a person to have slightly more experience than a full entry level while performing slightly more advanced skills than per an entry level. Understands and applies more advanced concepts and processes to tasks.
Education and Experience
Required:
  • Minimum of 3 years of experience -OR- Bachelor degree in STEM field
  • Proficient with Python and SQL

Desired
  • Knowledge of GEOINT collection and associated NGA/NRO systems
  • Proficiency with common programming languages including R, JavaScript, HTML, and CSS
  • Experience leveraging object oriented programming
  • Proficiency with visualization tools such as Grafana, Tableau, and Kibana
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Security Clearance:
  • Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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