ZipRecruiter

Log In

2

Remote Sas Programmer Jobs in Raleigh, NC (NOW HIRING)

Western Governors University

Decision Scientist

Raleigh, NC · On-site +1

$118K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows required to support production-ready models. * Communicate findings, recommendations, and model ...

Advance Auto Parts

Data Audit Analyst

Raleigh, NC · On-site +1

This position isHybrid (4days in office,1day remote),based at our corporate headquarters inRaleigh, North Carolina. Benefits Summary: We believe in supporting our Team Members and those they love ...

Advance Auto Parts

Data Audit Analyst

Raleigh, NC · On-site +1

This position isHybrid (4days in office,1day remote),based at our corporate headquarters inRaleigh, North Carolina. Benefits Summary: We believe in supporting our Team Members and those they love ...

Wake County Public School System

Data Analyst

Cary, NC · On-site +1

Associate's degree in information systems, business administration, programming, or equivalent work experience; * Three years of experience in database management or experience in a related field. An ...

Wake County Public School System

Data Analyst

Cary, NC · On-site +1

Associate's degree in information systems, business administration, programming, or equivalent work experience; * Three years of experience in database management or experience in a related field. An ...

Munich Re

Principal Data Scientist - FCAS

Cary, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

Munich Re

Principal Data Scientist - FCAS

Durham, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

previous page

Showing results 41-52

All JobsSas Programmer JobsRemote Sas Programmer JobsRemote Sas Programmer Jobs in Raleigh, NC

Remote Sas Programmer information

See Raleigh, NC salary details

$14

$47

$77

How much do remote sas programmer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote sas programmer in Raleigh, NC is $47.64, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $59.81 per hour, depending on experience, location, and employer.

What is a remote SAS programmer?

A Remote SAS Programmer is a professional who uses SAS (Statistical Analysis System) software to manage, analyze, and interpret data while working from a remote location. They design and write SAS programs for statistical analysis, data management, and reporting, often for industries like healthcare, finance, or research. Remote SAS Programmers may collaborate with teams virtually, ensuring data accuracy and providing insights without being physically present in an office. They need strong analytical skills, proficiency in SAS programming, and the ability to work independently.

What does a remote SAS programmer do?

SAS software provides statistical analysis, business intelligence, and data management tools for businesses and organizations. As a remote SAS programmer, you have a variety of software development duties. For example, you may develop new applications or find new uses for already-existing applications. You may configure tools to work in specific fields or code dashboards for end users. Your responsibilities and focus vary depending on the industry. They may be related to market and business research or scientific data analysis.

What are the key skills and qualifications needed to thrive as a remote SAS programmer, and why are they important?

To thrive as a Remote SAS Programmer, you need a strong background in statistical analysis, programming with SAS, and typically a degree in statistics, computer science, or a related field. Familiarity with SAS Base, SAS Macro, and data management tools, as well as knowledge of clinical data standards like CDISC, is often required, and certifications such as SAS Certified Base Programmer can be advantageous. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help set candidates apart in virtual environments. These competencies ensure accurate data analysis, adherence to project standards, and efficient collaboration with cross-functional teams from a distance.

What are some common challenges faced by remote SAS programmers, and how can they be overcome?

Remote SAS Programmers often face challenges such as communicating effectively with distributed teams, managing time zone differences, and ensuring secure access to sensitive data. To overcome these, it's important to establish clear communication routines, use collaborative project management tools, and follow strict data security protocols as outlined by your employer. Additionally, staying proactive in seeking feedback and clarifying project requirements can help ensure smooth workflow and successful project delivery.

What is the difference between Remote Sas Programmer vs Remote Data Analyst?

AspectRemote Sas ProgrammerRemote Data Analyst
Required credentialsTypically requires SAS certification, degree in computer science, statistics, or related fieldOften requires a degree in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications are common
Work environmentPrimarily focused on coding, data manipulation, and statistical analysis using SAS softwareInvolves data collection, cleaning, analysis, and reporting, often using various tools including Excel, SQL, and visualization software
Employer and industry usageUsed mainly in healthcare, pharmaceuticals, and clinical research industriesWidely used across finance, marketing, healthcare, and technology sectors

While both roles involve data analysis, Remote Sas Programmers focus on coding and statistical modeling using SAS software, primarily in clinical and healthcare industries. Remote Data Analysts have a broader scope, working with various tools and industries to interpret data and generate reports.

Are remote SAS programmers in demand?

Remote SAS programmers are in steady demand due to their specialized skills in data analysis, statistical programming, and familiarity with SAS software. Many industries such as healthcare, pharmaceuticals, and finance seek these professionals for data management and reporting tasks, often offering remote work options. Strong knowledge of SAS, SQL, and data visualization tools enhances employability in this field.
More about Remote Sas Programmer jobs

What are the most commonly searched types of Sas Programmer jobs in Raleigh, NC?

The most popular types of Sas Programmer jobs in Raleigh, NC are:

What are popular job titles related to Remote Sas Programmer jobs in Raleigh, NC?

For Remote Sas Programmer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Sas Programmer jobs in Raleigh, NC look for?

The top searched job categories for Remote Sas Programmer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Sas Programmer jobs?

Cities near Raleigh, NC with the most Remote Sas Programmer job openings:

Remote Sas Programmer jobs near you
Infographic showing various Remote Sas Programmer job openings in Raleigh, NC as of August 2026, with employment types broken down into 73% Full Time, 5% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $99,083 per year, or $47.6 per hour.

Decision Scientist

Western Governors University

Raleigh, NC • On-site, Remote

$118K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

80th of 620 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Technical 408Pay Range: $118,900.00 - $178,500.00

Job Description

The Decision Scientist has a key role within the Experiential Product team and is responsible for developing decision models that support student experiences throughout the lifecycle. This role blends expertise in data science, behavioral/decision science, and data engineering to design, build, monitor, and continuously improve models within the decision intelligence system that trigger recommendations to students, staff, or faculty to drive actions that improve student success. The Decision Scientist collaborates closely with the decision intelligence product lead, technology lead, business SMEs, software and data engineering, ML Ops, and technology architects to build decision products that support personalized student progress and completion, drive automated solutions for operational efficiency and scale, and ensure that decisions are data-informed, equitable, and actionable.
What You'll DoBuild Intelligent Decision Systems
  • Design, develop, and deploy machine learning models that support key decision points throughout the student lifecycle.
  • Translate business goals, behavioral objectives, and operational requirements into scalable analytical and machine learning solutions.
  • Develop decision frameworks that incorporate inputs, alternatives, outcomes, and continuous feedback loops.
  • Apply advanced analytics, experimentation, and causal inference techniques to identify opportunities that improve student experiences and outcomes.
Partner Across the Organization
  • Collaborate with business stakeholders to understand critical decisions, success measures, and desired outcomes.
  • Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows required to support production-ready models.
  • Communicate findings, recommendations, and model performance to both technical and non-technical audiences.
Operationalize and Scale Machine Learning
  • Deploy, monitor, retrain, and optimize machine learning models using modern MLOps best practices.
  • Ensure data inputs, outputs, and model dependencies are properly governed, monitored, and maintained.
  • Implement model monitoring processes to detect performance degradation, data drift, and operational issues.
  • Maintain high standards for model reliability, scalability, and production readiness.
Drive Transparency and Responsible AI
  • Create dashboards, reporting tools, and visualizations that make complex insights accessible and actionable.
  • Document model assumptions, methodologies, data dependencies, and feedback mechanisms to support transparency and reproducibility.
  • Ensure models are interpretable, auditable, and aligned with institutional commitments to fairness, accountability, and ethical use of AI.
Additional Responsibilities
  • Perform other duties as assigned.
What You'll BringRequired Knowledge, Skills, and Abilities
  • Strong expertise in machine learning, statistical modeling, and predictive analytics, including supervised and unsupervised learning techniques.
  • Experience selecting, evaluating, and optimizing machine learning models to solve real-world business problems.
  • Knowledge of modern MLOps practices, including model deployment, monitoring, retraining, CI/CD pipelines, and drift detection.
  • Experience developing and supporting data pipelines, including data ingestion, transformation, orchestration, and workflow automation.
  • Ability to model complex decision processes and connect decision outcomes to measurable business objectives.
  • Experience incorporating behavioral, operational, or customer-focused signals into analytical frameworks.
  • Proficiency in Python or R and hands-on experience with machine learning frameworks such as:
    • Scikit-learn
    • TensorFlow
    • PyTorch
  • Experience deploying machine learning solutions in cloud environments such as AWS, Azure, or Google Cloud Platform.
  • Proficiency with Git, GitHub, and collaborative software development practices.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Experience in higher education, student success, healthcare, or another mission-driven environment is preferred.
Education
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Behavioral Sciences, Mathematics, or a related quantitative discipline.
  • Master's degree preferred.
  • Experience in lieu of education:
    Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is at the discretion of the hiring manager.
Experience
  • 5+ years of experience in data science, advanced analytics, decision intelligence, or a related field.
  • 2+ years of experience designing, deploying, and maintaining machine learning solutions in production environments.
  • Experience building and supporting data pipelines and operational workflows that enable scalable analytics and machine learning capabilities.
  • Demonstrated success developing decision models, analytical frameworks, or predictive systems that influence human behavior, business outcomes, or customer experiences.


Additional Information:
This position is based in the Raleigh office, 5 days a week.
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.
#LI-JW1

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

What Western Governors University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply