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Entry Level Nvidia Data Scientist Jobs (NOW HIRING)

asrcfh

Data Scientist

Oklahoma City, OK · On-site

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

asrcfh

Data Scientist

Oklahoma City, OK

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

WVU Medicine

Associate Data Scientist

Morgantown, WV · On-site

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

West Virginia University Health System

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

Tech Consulting

Be Seen First

Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type ... Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ...

ASRC Federal Holding

Data Scientist

Oklahoma City, OK · On-site

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... entry-level employees. The ability to relate to different types of people and understand their ...

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO

Description People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data ... entry-level employees. The ability to relate to different types of people and understand their ...

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... entry-level employees. The ability to relate to different types of people and understand their ...

jbs

PEOPLE DATA SCIENTIST

Greeley, CO · On-site

Description Position at JBS USA People Data Scientist Purpose and Scope/General Summary: We are ... entry-level employees. The ability to relate to different types of people and understand their ...

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO

We are seeking a People Data Scientist to join JBS at our corporate office in Greeley, Colorado. In ... entry-level employees. The ability to relate to different types of people and understand their ...

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All JobsEntry Level Nvidia Data Scientist Jobs

Entry Level Nvidia Data Scientist information

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$46K

$165K

$243.5K

How much do entry level nvidia data scientist jobs pay per year?

As of Jun 22, 2026, the average yearly pay for entry level 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 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 the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 6% Full Time, 92% Part Time, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

asrcfh

Oklahoma City, OK • On-site

Other

Posted 14 days ago

Job description

ASRC Federal Advanced Research supports the Federal Aviation Administration (FAA) National Airspace System (NAS) Second Level Engineering Support (SLES) contract.

We are seeking a highly motivated Data Scientist to support the Weather Systems Group. This role contributes to the design, integration, and sustainment of mission-critical aviation weather systems supporting real-time operations across the NAS.

Responsibilities:

  • Analyze system performance, operational trends, failure data, and reliability metrics to support engineering and management decisions.
  • Perform statistical analysis, including hypothesis testing, ANOVA, regression, correlation analysis, and confidence interval estimation.
  • Conduct reliability analysis to evaluate equipment performance, failure trends, maintainability, availability, and life-cycle risk.
  • Design and evaluate experiments or comparative studies to determine whether observed differences are statistically significant.
  • Develop models and analytical methods to detect anomalies, forecast trends, and support predictive maintenance or operational decision-making.
  • Develop scripts and tools using C, C++, and Python for automation, analysis, and system configuration
  • Support full software lifecycle including requirements, development, testing, and deployment
  • Perform capacity planning and scalability assessments for distributed systems
  • Develop technical documentation, reports, and artifacts for field use
  • Lead or contribute to process improvements
  • Collaborate with government stakeholders, engineers, and field technicians

Requirements:

US Citizenship or Permanent Residency required. All applicants must have resided in the United States for the past 3 years.

On-site presence will be as required by the FAA.

  • Proficient in programming languages and scripts used in model and tool development (C, C++, Python)
  • Proficiency in Python, R, SQL, or similar data analysis languages.
  • Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau, Looker, matplotlib, or similar platforms.
  • Experience with use of source control such as Git.
  • Must demonstrate initiative with minimal oversight
  • Experience working in a team environment
  • Experience authoring technical documentation and providing technical support
  • Good written and spoken communication including developing technical documentation
  • Ability to pass an FAA background investigation
  • Must be local to the OKC area or willing to relocate.  Will need to have the ability to physically access laboratory hardware when needed.
  • Must be willing to travel up to 5% of the time.

Education/Experience:

  • Bachelor’s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field

Level 1: Entry Level

Level 2: Minimum 3 years of experience equivalent to a level 1

Level 3: Minimum 3 years of experience equivalent to a level 2

Level 4: Minimum 3 years of experience equivalent to a level 3

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