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Full Time Data Scientist Jobs in Raleigh, NC (NOW HIRING)

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 ...

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

This is a full-time, on-site opportunity in Durham, NC. * Collaborate with scientists to design, analyze, manage and interpret all types of data. * Conduct analyses on NextGen sequencing data ...

This is a full-time, on-site opportunity inDurham, NC. * Collaborate with scientists to design, analyze,manageand interpret all types of data. * Conduct analyses on NextGen sequencing data including ...

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Conduct data analysis and interpretation on other large data types in a genomic context.

This position is a full-time position located in Research Triangle Park, NC. * Conduct analysis and ... Conduct data analysis and interpretation on other large data types in a genomic context.

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Showing results 1-20

Full Time Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do full time data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for full time data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Data Scientist, and why are they important?

To thrive as a Full Time Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Familiarity with machine learning libraries (such as scikit-learn or TensorFlow), data visualization tools, and experience working with large datasets are important, and certifications like AWS Certified Machine Learning can be beneficial. Problem-solving, communication, and collaboration skills help data scientists translate complex findings into actionable insights for diverse teams. These skills are essential for extracting value from data, driving business decisions, and ensuring successful project outcomes.

What are Full Time Data Scientists?

Full time data scientists are professionals who use statistical, analytical, and programming skills to extract insights and knowledge from data. They typically work with large datasets to identify trends, build predictive models, and help organizations make data-driven decisions. As full-time employees, they collaborate with other teams, maintain data pipelines, and continuously improve algorithms to solve complex business problems. Their role can span various industries, including technology, finance, healthcare, and more.

What are some common challenges Full Time Data Scientists face when working on cross-functional teams?

Full Time Data Scientists often collaborate with stakeholders from engineering, product, and business teams. A common challenge is effectively communicating complex technical concepts in a way that non-technical colleagues can understand, ensuring alignment on project goals. Additionally, balancing competing priorities—such as model accuracy versus production timelines—and managing expectations regarding data limitations can be demanding. Successful data scientists proactively foster strong relationships across teams and clarify project requirements early to overcome these challenges.
What are the most commonly searched types of Data Scientist jobs in Raleigh, NC? The most popular types of Data Scientist jobs in Raleigh, NC are:
What are popular job titles related to Full Time Data Scientist jobs in Raleigh, NC? For Full Time Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Full Time Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Data Scientist jobs? Cities near Raleigh, NC with the most Full Time Data Scientist job openings:
Infographic showing various Full Time Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.
Data Scientist (Emerging Careers)

Data Scientist (Emerging Careers)

SAS

Cary, NC • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

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

We’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 – this is an evolving space, things will change. Finally, we expect you to be authentic and accountable – 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) that’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, it’s not about fitting into our culture – it’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 “sas.com” 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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