ZipRecruiter

Log In

1

Intern Nvidia Data Scientist Jobs (NOW HIRING)

IntelliGenesis LLC

Senior Data Scientist

San Antonio, TX · On-site

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use ... Experience NVIDIA Technology & frameworks * Experience with data transport and transformation APIs ...

Verse

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale ... The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ...

US Department of the Air Force

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of the Air Force

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of the Air Force

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of the Air Force

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

US Department of the Air Force

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

previous page

Showing results 41-60

All JobsIntern Nvidia Data Scientist Jobs

Intern Nvidia Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do intern nvidia data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for intern 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 does an intern Nvidia data scientist do?

An Intern Nvidia Data Scientist works with experienced teams to analyze large datasets, develop models, and create data-driven solutions using machine learning and deep learning techniques. The role often includes tasks like data cleaning, exploratory analysis, model training, and performance evaluation. Interns may also help optimize algorithms for Nvidia hardware platforms and contribute to real-world projects that impact Nvidia’s products and services. This experience provides interns with valuable exposure to cutting-edge AI technologies and industry best practices.

What types of projects can an intern Nvidia data scientist expect to work on?

As a Data Scientist intern at Nvidia, you can expect to work on a variety of projects that leverage large datasets and advanced machine learning techniques. Typical assignments may involve developing models for computer vision, natural language processing, or GPU-accelerated data analytics. You'll likely collaborate closely with experienced scientists, software engineers, and product teams, contributing to both research-oriented and production-focused tasks. These projects offer valuable exposure to real-world challenges and cutting-edge technologies, providing an excellent foundation for future career growth in the field.

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

To thrive as an Intern Nvidia Data Scientist, you need a strong background in statistics, machine learning, programming (Python, R), and a relevant degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, CUDA, and data visualization software is often expected. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These competencies are crucial for successful project contributions, effective teamwork, and leveraging Nvidia's advanced technologies in real-world data science applications.

What is the difference between Intern Nvidia Data Scientist vs Intern Nvidia Data Analyst?

AspectIntern Nvidia Data ScientistIntern Nvidia Data Analyst
Required CredentialsRelevant degree in Data Science, Computer Science, or related field; programming skills in Python, R; basic understanding of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams focusing on advanced analytics, machine learning models, and AI projectsData reporting, visualization, and interpreting data trends for business insights
Employer & Industry UsageUsed across Nvidia's AI, autonomous vehicles, and research divisionsApplied in marketing, sales, and product teams for data-driven decision making

Intern Nvidia Data Scientists focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. Intern Nvidia Data Analysts primarily interpret data and create reports, emphasizing data visualization and business insights. Both roles are valuable in Nvidia's tech environment but differ in technical depth and project scope.

More about Intern Nvidia Data Scientist jobs

What cities are hiring for Intern Nvidia Data Scientist jobs?

Cities with the most Intern Nvidia Data Scientist job openings:

What are the most commonly searched types of Nvidia Data Scientist jobs?

The most popular types of Nvidia Data Scientist jobs are:

What states have the most Intern Nvidia Data Scientist jobs?

States with the most job openings for Intern Nvidia Data Scientist jobs include:

What job categories do people searching Intern Nvidia Data Scientist jobs look for?

The top searched job categories for Intern Nvidia Data Scientist jobs are:

Intern Nvidia Data Scientist jobs near you
Infographic showing various Intern Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist

IntelliGenesis LLC

San Antonio, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Job description

IntelliGenesis is seeking a Senior Data Scientist to support IG Labs working to answer challenging questions and problems that our customers are facing. Our data-rich environment allows you to use your knowledge and experience in data science on complex data sets and provide customers with useful information and insight. As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to hard and challenging problems.
Job Duties:
  • Involved in the analysis of structured, 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.
  • Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
  • Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data.
  • Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
  • Has the ability to utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions.

Required Skills:
  • Must be a U.S. Citizen
  • TS/SCI Clearance with polygraph
  • Minimum five (5) years of experience
  • Bachelor's degree in Computer Science or related field
  • Must be able to report daily to Tech Port San Antonio
  • Experience with software development, either an open-source enterprise software developmentstack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++).
  • Experience with hardware networking, server, OS (primarily Linux), GPU/DPU, and containerization (Docker primarily)

Desired Skills:
  • Experience NVIDIA Technology & frameworks
  • Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST.
  • Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
  • Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.
  • Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr.
  • Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
  • Experience with machine learning, algorithm analysis, and data clustering.
  • Ability to build Python scripts and packages that will be used by the data analysts. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis).
  • Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub).
  • Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.)

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

Apply