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Entry Level Nvidia Data Scientist Jobs (NOW HIRING)

Tech Consulting

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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 ...

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 · On-site

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

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 ...

Battelle

Data Scientist I

Columbus, OH · On-site

This position is responsible for performing entry level analysis of program-related data, including building and maintaining databases and spreadsheets. The Data Scientist will collaborate with ...

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

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 9, 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

Junior Data Scientist

Tech Consulting

Miami, FL • On-site

$30 - $35/hr

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago

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Job description

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 in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field.

What This Role Requires

  • What This Role Requires:
    • 1-4 years of data analyst/ML/AI engineering work experience after your degree.
    • Must have experience with both Python programming & SQL language developer.
    • Should demonstrate experience developing end-to-end solutions.
    • Demonstrated SQL experience.
    • Additional experience with at least one: AWS, Azure or Databricks is preferred.
    • Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.

To Qualify

  • You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an onsite, in-office position.
  • Strong English communication skills, both written and verbal.
  • Bachelor’s Degree in Computer Science, Information Systems, Electrical Engineering,
    Mathematics, or a related quantitative field. Additional relevant Master’s degree is highly desirable for this role.

What’s In It For YOU?

  • Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.
  • Receive relocation support for training and project assignments, as required.
  • Enjoy comprehensive W2 employee benefits.
  • Access full coverage medical, dental, and vision insurance.
  • Qualify for 401K eligibility after one year of employment.
  • Benefit from basic life/AD&D and dependent disability (short/long term) coverage.

Who Are We?

We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare. Our clientele includes industry giants like Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonald's, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, and Charles Schwab, among many others. As a consultant, joining our team means you'll also have the opportunity to work with these renowned and leading companies and gain valuable, career-accelerating experience.

Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.