Data Scientist Salary in Raleigh 2026

Quick Answer

Data Scientist Salary in Raleigh: Full Overview

As of 2024, Raleigh offers competitive compensation for data scientists, reflecting the region’s growing tech sector and the Research Triangle’s prominence as a hub for technology and research-driven employment. The $112,710 average salary positions Raleigh as an attractive market for data science professionals seeking both career growth and reasonable cost of living compared to major coastal tech hubs.

The Raleigh metropolitan area, which includes nearby employment centers in Durham, Cary, Chapel Hill, and Apex, represents one of the Southeast’s most dynamic labor markets for technical talent. Data scientists in this region benefit from the presence of major research institutions, technology companies, and a thriving startup ecosystem.

Cost of Living Context

Understanding your salary’s purchasing power requires context about Raleigh’s cost of living. The Raleigh area offers a favorable balance between compensation and expenses compared to major tech centers like San Francisco, New York, or Seattle. While specific median rent and cost-of-living indices for Raleigh were not available in the current data snapshot, the region is generally recognized as more affordable than coastal tech hubs while maintaining strong salary offerings for skilled professionals.

When evaluating a data scientist position in Raleigh, consider that your $112,710 annual salary will stretch further here than in high-cost metropolitan areas, particularly regarding housing, transportation, and general living expenses.

Raleigh’s Tech Labor Market

The Raleigh-Durham-Chapel Hill region has established itself as a significant technology employment center, often referred to as the Research Triangle. This designation reflects the area’s concentration of:

• Research universities (Duke University, University of North Carolina, North Carolina State University)
• Technology and biotech companies
• Federal research facilities
• Growing startup and venture capital presence

Data scientists in Raleigh typically find opportunities across industries including healthcare technology, financial services, software development, research institutions, and manufacturing. The diverse employer base provides career flexibility and negotiation leverage.

Nearby Cities and Metro Comparison

The Raleigh metropolitan area includes several significant employment centers where data scientist salaries may vary slightly:

• Durham: Known for healthcare, biotech, and pharmaceutical research; home to Duke University and major medical research institutions
• Cary: A planned community with significant technology sector presence and corporate headquarters
• Chapel Hill: University town with research opportunities at UNC and affiliated institutions
• Apex: Rapidly growing suburb with increasing tech sector presence

These nearby cities within the same MSA typically offer comparable salary ranges, as they represent a unified labor market. Professionals may find opportunities across the entire Research Triangle region without significant salary disparities.

Job Outlook for Data Scientists

The data science field continues to experience strong demand as organizations across industries increasingly rely on data-driven decision-making. Data scientists are among the fastest-growing occupational categories in the United States, driven by:

• Expansion of artificial intelligence and machine learning applications
• Increased data collection and analytics capabilities
• Digital transformation across all business sectors
• Growing demand for predictive analytics and business intelligence

Raleigh’s position within the Research Triangle positions it well for continued growth in data science employment, particularly given the region’s research institutions and technology sector presence.

Career Progression and Salary Growth

Entry-level data scientists typically command lower salaries than the regional average, while senior data scientists, principal data scientists, and data science managers can earn significantly more. Career advancement in Raleigh’s market typically follows these trajectories:

• Junior Data Scientist: Entry-level positions for recent graduates or career changers
• Data Scientist: Mid-level role with 2-5 years of experience
• Senior Data Scientist: 5+ years of experience with specialized expertise
• Lead/Principal Data Scientist: Leadership roles managing teams and strategic initiatives
• Data Science Manager: Management track focusing on team leadership rather than technical depth

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FAQ

What is the starting salary for a data scientist in Raleigh?

Entry-level data scientist positions in Raleigh typically start below the regional average of $112,710. Recent graduates or professionals transitioning into data science should expect starting salaries in the $70,000–$85,000 range, depending on educational background, relevant experience, and the specific employer. Positions requiring advanced degrees (Master’s or Ph.D.) or those at research institutions may offer higher entry-level compensation.

How does Raleigh’s data scientist salary compare to other major tech markets?

Raleigh’s $112,710 average is notably lower than major coastal tech hubs like San Francisco, New York, or Boston, where data scientist salaries frequently exceed $140,000–$160,000. However, Raleigh offers a significant cost-of-living advantage. The lower housing costs, transportation expenses, and general living expenses in Raleigh mean that a $112,710 salary provides greater purchasing power than similar nominal salaries in high-cost regions. For professionals prioritizing quality of life and financial stability over maximum salary, Raleigh represents an attractive alternative to expensive coastal markets.

What factors influence data scientist salaries in Raleigh?

Several factors significantly impact compensation for data scientists in the Raleigh area:

• Experience level: Salary increases substantially with years of experience and demonstrated expertise
• Education: Advanced degrees (Master’s, Ph.D.) in relevant fields typically command higher salaries
• Industry sector: Biotech, pharmaceuticals, and finance typically pay more than other sectors
• Employer size: Larger corporations and well-funded startups often offer higher compensation than smaller companies
• Technical specialization: Expertise in machine learning, AI, cloud platforms, or specialized domains increases earning potential
• Location within metro: Positions in Cary or Durham may differ slightly from Chapel Hill or Apex

Is it worth relocating to Raleigh for a data scientist position?

The decision to relocate depends on your current situation and priorities. Raleigh offers several advantages: a strong tech labor market with diverse employers, reasonable cost of living, quality research institutions, and a growing startup ecosystem. The Research Triangle’s reputation attracts talent and investment, providing long-term career stability. If you’re currently in a high-cost area, a Raleigh position with comparable salary would significantly improve your financial position. However, if you’re relocating from a lower-cost region, the $112,710 average may represent a smaller real increase in purchasing power. Consider total compensation (benefits, remote work options, stock options), cost of living differences, and long-term career opportunities when making your decision.

What skills command the highest salaries for data scientists in Raleigh?

Data scientists with expertise in the following areas typically earn above-average compensation in Raleigh:

• Machine learning and AI: Advanced ML model development and deployment
• Cloud platforms: AWS, Google Cloud, Azure expertise
• Big data technologies: Spark, Hadoop, distributed computing
• Programming languages: Python, R, Scala proficiency
• Domain expertise: Healthcare, biotech, or financial services knowledge
• Leadership experience: Team management and project leadership capabilities

What is the typical career path for data scientists in Raleigh?

Most data scientists in Raleigh follow one of two primary career trajectories. The technical track progresses from junior data scientist to senior data scientist to principal/staff data scientist, with increasing focus on complex technical problems and specialized expertise. The management track moves from individual contributor roles to team lead, manager, and director positions, emphasizing people management and strategic decision-making. Some professionals alternate between tracks or hold hybrid roles combining technical and leadership responsibilities. Raleigh’s diverse employer base supports both trajectories, with research institutions favoring deep technical expertise and corporations emphasizing management skills.

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Data source: Bureau of Labor Statistics OEWS, 2024 (SOC Code 15-2051, MSA 39580 Raleigh). This article provides informational salary data based on public sources; actual compensation varies by employer, experience, education, and individual negotiation. This is not financial or career advice.

Last updated: April 10, 2026