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Entry Level Nvidia Data Scientist Jobs in Spring, TX

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field. * Strong analytical and problem-solving abilities ...

Lab Technician

Conroe, TX

$16.25 - $21.50/hr

We are seeking a detail-oriented and reliable Entry-Level Laboratory Technician to join our client ... In this role, you will support daily laboratory operations, assist scientists with routine testing ...

New

Key Responsibilities * Review P&ID drawings, equipment records, and asset data from capital ... Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Showing results 21-40

Entry Level Nvidia Data Scientist information

See Spring, TX salary details

$40.9K

$146.8K

$216.7K

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

As of Sep 8, 2026, the average yearly pay for entry level nvidia data scientist in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

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.

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 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 most commonly searched types of Nvidia Data Scientist jobs in Spring, TX?

The most popular types of Nvidia Data Scientist jobs in Spring, TX are:

What are popular job titles related to Entry Level Nvidia Data Scientist jobs in Spring, TX?

For Entry Level Nvidia Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Nvidia Data Scientist jobs in Spring, TX look for?

The top searched job categories for Entry Level Nvidia Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Entry Level Nvidia Data Scientist jobs?

Cities near Spring, TX with the most Entry Level Nvidia Data Scientist job openings:

Infographic showing various Entry Level Nvidia Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,848 per year, or $70.6 per hour.

$29.25 - $48/hr

Full-time

Posted 7 days ago


Key responsibilities

  • Supporting teams in data analysis projects by conducting research and gathering information

  • Participating in the development of data-driven insights to assist in decision-making processes

  • Assisting in the creation and maintenance of data visualization dashboards to communicate key metrics


Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Deals - DTDS - Contracts Intern, you will engage in data analysis and analytics within our Advisory practice, supporting clients in achieving sustainable growth and competitive advantage. This role involves working closely with teams to gather and analyze data, providing insights that drive decision-making and innovation. You will have the opportunity to learn from experienced professionals and contribute to projects that impact our clients' strategic objectives.
As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC's methodologies. You will perform basic tasks and conduct research while observing professional work environments. This role emphasizes developing your personal brand and understanding the diverse perspectives and needs of others. You will be encouraged to actively listen, ask questions, and express ideas clearly.
In this role, you will be part of a dynamic environment where you can apply your analytical skills and contribute to the success of our clients. You will gain exposure to data science, analytics, and artificial intelligence, helping businesses harness the power of data to drive innovation and gain a competitive edge. This is an excellent opportunity to develop your skills and build a foundation for a successful career in data and analytics.
Responsibilities
- Supporting teams in data analysis projects by conducting research and gathering information
- Participating in the development of data-driven insights to assist in decision-making processes
- Assisting in the creation and maintenance of data visualization dashboards to communicate key metrics
- Engaging in algorithm development to solve analytical problems and enhance data processing
- Utilizing tools like Alteryx and Power BI to automate data workflows and generate reports
- Collaborating with team members to integrate data from various sources into unified views
- Applying data mining techniques to identify patterns and trends within large datasets
- Contributing to the validation of data integrity and security measures across analytics platforms
- Observing and learning from experienced professionals to gain exposure to PwC's methodologies and practices
- Taking initiative to ask questions and seek feedback to enhance personal and professional growth
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data analysis and research tasks
- Participating in cloud platform design and data architecture projects
- Observing and learning from experienced data and analytics professionals
- Developing skills in data visualization and dashboard creation
- Applying a learning mindset to gain exposure to PwC methodologies

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.