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Entry Level Nvidia Data Scientist Jobs in Spring, TX

This is an entry level position responsible for basic engineering practices to support the ... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ...

Seismic Imaging Analyst

Houston, TX · Hybrid

$90K - $105K/yr

... data company that pushes the boundaries of science for a more prosperous and sustainable future ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

Seismic Imaging Analyst

Houston, TX · Hybrid

$90K - $105K/yr

... data company that pushes the boundaries of science for a more prosperous and sustainable future ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

Seismic Imaging Analyst

Houston, TX · Hybrid

$90K - $105K/yr

... data company that pushes the boundaries of science for a more prosperous and sustainable future ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

... Entry level, but experienced candidates are welcome as well. The role involves performing ... scientists, engineers, and technicians on experimental design and data reporting. * Conduct and ...

This is an entry level position responsible for basic engineering practices to support the ... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ...

Field Service Representative

Houston, TX · Remote

$46K - $85K/yr

This is an excellent entry-level role in the healthcare and pharmaceutical industries. The team ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

New

US Tech - FTO Senior Associate

Houston, TX · On-site

$55K - $187K/yr

Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... entry-level Petroleum Engineers in the following potential locations * Houston, Texas * Midland ... data scientists, and / or software developers. Petroleum engineers develop technical skills in ...

... portfolio. Entry level, but experienced candidates are welcome as well. The role involves ... scientists, engineers, and technicians on experimental design and data reporting. * Conduct and ...

Showing results 41-60

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 Aug 7, 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 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.
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:
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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 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $146,848 per year, or $70.6 per hour.

Full-time

Re-posted 11 hours ago


Job description

Utilize engineering fundamentals to design integrated drilling systems and fit-for-purpose products to support drilling operations. This is an entry level position responsible for basic engineering practices to support the Technical Services team on both design and project related requests.  The individual will build a practical knowledge of drilling processes, equipment, and workflows while developing proficiency in engineering tools and systems.

Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.
Equal Opportunity Employer

Nabors is committed to providing equal employment opportunities to all employees and applicants and prohibiting discrimination and harassment of any type without regard to race, religion, age, color, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.  This applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.  To learn more about our Fair Employment practices, please refer to the Nabors Code of Conduct.
  • 0-3 years of experience in the oil and gas industry preferable contract drilling
  • Bachelor of Science degree in civil/structural or mechanical engineering from an accredited university is required
  • Proficient in Microsoft Word, Excel, Access and Project

  • Basic knowledge of API, IADC, ASME, AISC and other relevant industry standards

  • Basic proficiency and familiarity with drafting software such as AutoCAD and/or SolidWorks

Preferred Qualifications

  • Licensed Engineer in Training (EIT) is considered a benefit for the position but not required.

  • Previous work experience with a drilling contractor or other related company with direct contact to the drilling industry is considered a benefit.

BEHAVIORAL COMPENTENCIES

  • Strong analytical skills

  • Reliable self-starter able to establish priorities and organize workload on a daily basis with minimal direction.

  • Dependable and adaptable to change

  • Good interpersonal skills

  • Organized and efficient execution of assigned deliverables through timely and correct decision making

  • Must be a team player with a positive attitude

  • Excellent written and oral communication skills

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

Primary job functions may include the following items:

  • Perform engineering calculations under supervision of experienced Engineer to assess safety and suitability of design.
  • Create discipline specific engineering and design document(s) for Engineering Requests (ER's) and projects. 
  • Develop discipline specific technical knowledge through assigned tasks. 
  • Learn and utilize Nabors' processes and procedures. 
  • Review research, analyses, internal and supplier specifications, manuals, and other data supporting team and project needs to evaluate the feasibility, cost, and maintenance requirements of designs or applications 

  • Build knowledge of new drilling equipment and practices

  • Develop hands-on experience and field exposure through assigned tasks. 
  • Review product design for compliance with engineering principles, company standards, client contract requirements, and related specifications
  • Provide technical support to other functional teams within the Company
  • Interface with 3rd party suppliers and oversee their progress and quality

Secondary job functions may include the following items:

  • Develop hands-on experience and field exposure through assigned tasks. 
  • Review product design for compliance with engineering principles, company standards, client contract requirements, and related specifications
  • Provide technical support to other functional teams within the Company
  • Interface with 3rd party suppliers and oversee their progress and quality

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