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Data Science Government Jobs in Raleigh, NC (NOW HIRING)

COMPASS Pathways

HEOR Science Liaison

Raleigh, NC · On-site +1

Deliver fair-balanced, scientifically rigorous presentations on clinical data, real-world evidence ... Monitor and interpret changes in managed care regulations, government payer policy (CMS, Medicare ...

Varsity Tutors

High School Government Tutor

Raleigh, NC · Remote

$18 - $40/hr

... data, and understanding the relationship between state and federal authority. Emphasizes developing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

High School Government Tutor

Durham, NC · Remote

$18 - $40/hr

... data, and understanding the relationship between state and federal authority. Emphasizes developing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

CoVar

Proposal Manager

Durham, NC

Familiarity with AI, machine learning, software development, data science, biomedical research, or related technical disciplines. * Experience using government proposal submission systems and portals.

CYNET SYSTEMS

Business Data Analyst

Cary, NC · On-site

$60 - $65/hr

... government agencies, and enterprise organizations across the United States and Canada ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

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Showing results 21-40

All JobsData Science Government JobsData Science Government Jobs in Raleigh, NC

Data Science Government information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data science government jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data science government 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 a data scientist in government?

A data scientist in government applies statistical analysis, machine learning, and data visualization techniques to solve public sector challenges. They work with large datasets from various sources, such as census records, public health data, and transportation systems, to extract insights that inform policy decisions and improve public services. Their work can include predictive modeling, program evaluation, and developing tools for transparency and accountability. Government data scientists often collaborate with policymakers, IT professionals, and researchers to ensure data-driven decision-making. This role is crucial for making government operations more efficient and responsive to the needs of citizens.

What are the key skills and qualifications needed to thrive as a data scientist in government?

To thrive as a Data Scientist in government, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and government-specific data platforms, as well as relevant certifications like Certified Analytics Professional, is highly valued. Excellent communication, problem-solving, and collaboration skills help translate complex data into actionable insights for diverse stakeholders. These skills ensure that data-driven decisions effectively support public policy, enhance services, and address societal challenges.

How does collaboration typically work between data scientists and policy teams in government settings?

In government settings, data scientists often work closely with policy teams to translate complex data insights into actionable policy recommendations. Collaboration usually involves regular meetings to align on project goals, clarify data needs, and discuss findings. Data scientists help interpret analytical results in the context of policy objectives, while policy teams provide guidance on legislative priorities and practical constraints. This cross-functional teamwork ensures that data-driven solutions are both technically sound and aligned with public interest.

Do data science government professionals work for the government?

Yes, data science professionals working in government roles are employed by government agencies or departments. They analyze data to support policy making, public services, and operational efficiency, often using tools like Python, R, and SQL. These roles typically require security clearances and knowledge of public sector regulations.

What are popular job titles related to Data Science Government jobs in Raleigh, NC?

For Data Science Government jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Science Government jobs in Raleigh, NC look for?

The top searched job categories for Data Science Government jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Science Government jobs?

Cities near Raleigh, NC with the most Data Science Government job openings:

Data Science Government jobs near you
Infographic showing various Data Science Government job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Staff AI Engineer

Western Governors University

Raleigh, NC • On-site

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

83rd of 622 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 412

Job Description

As a Staff AI Engineer, you will serve as a technical leader and force multiplier within the AI Engineering Enablement team. You will define how AI systems are architected, deployed, and scaled across the organization. Operating at the intersection of deep technical expertise and organizational leadership, you will shape platform strategy, influence roadmaps, and elevate engineering capabilities across multiple teams.
What You'll Do
  • Define and own AI engineering architecture standards, design patterns, and platform conventions for LLM-based systems
  • Lead complex, cross-functional AI initiatives from inception through delivery, aligning engineering, product, data science, and research stakeholders
  • Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure
  • Design and scale internal AI platforms including shared tooling, reusable components, prompt libraries, and evaluation infrastructure
  • Establish and mature LLMOps practices including governance, cost management, observability, and safe deployment standards
  • Lead AI safety initiatives including red-teaming, adversarial testing, and responsible AI policy development
  • Mentor and develop Senior and II-level engineers through coaching, design reviews, and technical leadership
What You'll Bring
  • Expert-level, production-proven experience across the AI engineering stack including LLM APIs, agentic systems, RAG pipelines, evaluation frameworks, and LLMOps
  • Demonstrated ability to define and drive architectural patterns and engineering standards at team or organizational scale
  • Deep expertise in agentic system design including multi-agent architectures, state management, and reliability engineering for non-deterministic systems
  • Strong platform engineering experience designing shared infrastructure, reusable tooling, and developer-facing systems
  • Advanced knowledge of LLM fine-tuning, alignment techniques, and evaluation methodologies including safety and bias assessment
  • Experience leading vendor evaluations and technical due diligence for AI frameworks and infrastructure
  • Strong proficiency in Python and software engineering fundamentals with a focus on quality, testing, and reliability standards
  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, or a related field. Master's Degree strongly preferred.
  • 7+ years of experience in software engineering, data science, or machine learning
  • 5+ years of hands-on experience building and deploying LLM-based or AI systems in production at scale
  • Demonstrated experience setting architectural direction across teams or organizations
  • Experience leading complex AI projects across multiple teams or functional areas
  • Proven mentorship of Senior and/or II-level engineers
  • Experience designing and operating shared AI platforms or internal AI infrastructure
  • Experience owning LLMOps or MLOps practices including governance, rollout strategy, and production monitoring
  • Experience with AWS cloud architectures including scalable inference, data pipelines, and cost optimization
  • Hands-on experience with fine-tuning, PEFT, and model evaluation in production environments
Bonus Points
  • Master's Degree or PhD in Computer Science, AI/ML, or a related field
  • Experience with Databricks and related certifications
  • AWS certifications such as AWS Certified Machine Learning - Specialty
  • Experience with open-source model ecosystems and self-hosted inference infrastructure
  • Experience in EdTech, personalized learning, or student-facing AI platforms
  • Published research, conference presentations, or open-source contributions in AI/ML
  • Experience with enterprise AI governance, compliance frameworks, or regulatory requirements
Experience in Lieu of Education
Equivalent relevant experience performing the essential functions of this job may substitute for graduate education degree preferences or requirements.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Introductory call
  • Hiring manager interview
  • Technical interview
  • Final panel interview
Work Location
This is a full-time, in-office position requiring five days per week in our Raleigh, NC office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
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-AW2

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.

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