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Entry Level Nvidia Data Scientist Jobs in Raleigh, NC

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

Be Seen First

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... Ability to think critically and analyze data to derive meaningful insights * Communication Skills:

Be Seen First

Mathematics, science, computer science, or engineering teaching experience in formal or informal ... Ability to think critically and analyze data to derive meaningful insights * Communication Skills:

Maintain current and create new product information data sheets * Use FDA and other rules and ... or food manufacturing (entry-level candidates considered with strong internships or co-op ...

New

Biologist - Entry Level

Durham, NC ยท On-site

$60K - $80K/yr

... multiple scientific disciplines. Responsibilities may include: * Support the setup and ... Active or previously held government security clearance Compensation Data Battelle is committed to ...

Senior AI Performance Architect

Raleigh, NC ยท On-site

$162K/yr

At the same time, data centers are expanding AI capability through widespread deployment of ML ... In-depth knowledge of nVidia/AMD GPU capabilities and architectures * Knowledge of LLM ...

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Entry Level Nvidia Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

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

As of Aug 1, 2026, the average yearly pay for entry level nvidia data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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 Raleigh, NC? The most popular types of Nvidia Data Scientist jobs in Raleigh, NC are:
What job categories do people searching Entry Level Nvidia Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Entry Level Nvidia Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Nvidia Data Scientist jobs? Cities near Raleigh, NC with the most Entry Level Nvidia Data Scientist job openings:

Data Scientist (Emerging Careers)

SAS

Cary, NC โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina

Weโ€™re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

 

About the job

You will drive solution development, solution testing, and implementation of SAS customer projects involving artificial intelligence, computer vision and machine learning. You will engage the customer from all levels, including executive and business sponsor, to drive processes, adoption, and ensure project success. You will research and develop high-quality demos to illustrate the application of computer vision in solving practical problems. You will work closely with a team of SAS experts with diversified skillset to meet the needs of SAS customers. You will work collaborate with R&D and product management teams to improve SAS solutions and analytical products based on customer project experience.

You should have a strong passion for solving SAS customer problems and enjoy spending your time and effort on sharpening your skills and extending your knowledge. You should be curious and adaptable โ€“ this is an evolving space, things will change. Finally, we expect you to be authentic and accountable โ€“ work hard, be committed to excellence, and deliver results.

Our team leads the design, development, and implementation of AI models for SAS customers across many industries such as manufacturing, consumer package goods, retail, and life science among others.

As a Data Scientist, you will:

  • Drive the development, testing, and implementation of AI-centric SAS models.
  • Identify customer use cases and contribute to the model development strategy.
  • Partner with our engineering and product management teams to refine SAS model offerings.
  • Foster strong collaborations with customers, partners, sales, and pre-sales.

Required qualifications

  • Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience.
  • Strong research background in computer vision or machine learning model development
  • Experience in using open-source solutions to solve computer vision and machine learning problems.
  • Strong coding skills, preferably in Python or SAS
  • Experience in PyTorch or TensorFlow
  • Excellent written and verbal communication skills
  • Ability to perform in both team and individual environments
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
  • Location:  Cary, HQ Hybrid (minimum of 3 days in the office per week).

Preferred qualifications

  • Experience in practical implementations of computer vision projects in industry and communicating directly with customers at different levels
  • Experience in deployment using Nvidia CUDA Toolkit
  • Experience with containers and Kubernetes
  • Experience working on external customer projects

 

World-class benefits  

Highlights include...

  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
    • PPO with low annual deductible and copays.
    • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) thatโ€™s free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.

You are welcome here.

At SAS, itโ€™s not about fitting into our culture โ€“ itโ€™s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information:

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. 

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified โ€œsas.comโ€ email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

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