Data Scientist Salary in Richmond 2026

Quick Answer

Data Scientist Salary in Richmond: Full Breakdown

Based on Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) data from 2024, the data scientist role in Richmond commands a solid mid-career salary. The annual mean of $127,090 reflects the strong demand for analytical talent in the region.

Key Salary Metrics (2024 BLS Data):

• Annual Mean Salary: $127,090
• Data Source: Bureau of Labor Statistics OEWS, SOC Code 15-2051
• Geographic Area: Richmond MSA (40060)
• Survey Year: 2024

This salary figure represents the average compensation across all experience levels for data scientists working in the Richmond area. The role typically requires strong technical skills in statistical analysis, programming, and data manipulation, which commands premium compensation relative to many other occupations in the region.

Understanding the Richmond Data Science Market

Richmond’s data scientist salary of $127,090 reflects a competitive job market for analytical professionals. The city has seen growing demand for data-driven decision-making across industries including finance, healthcare, technology, and government sectors. The presence of major employers and educational institutions in the region contributes to a robust talent market.

Data scientists in Richmond work across diverse industries, from financial services firms to healthcare organizations to technology startups. This occupational diversity helps sustain competitive salary levels, as employers compete for qualified candidates with relevant experience and technical expertise.

Cost of Living Context

Understanding your salary requires context about local living expenses. Richmond offers a moderate cost of living compared to many major U.S. metropolitan areas, which means your $127,090 salary has meaningful purchasing power in the local market.

Key Cost Considerations:

• The salary supports comfortable living in most Richmond neighborhoods
• Housing, transportation, and food costs are generally moderate relative to national averages
• Your take-home pay will vary based on state and federal taxes, and benefits packages

A data scientist earning the average salary in Richmond should carefully budget for housing, healthcare, and other essentials. The actual purchasing power of your salary depends on your specific circumstances, tax situation, and lifestyle choices.

Job Outlook for Data Scientists

The field of data science continues to experience strong growth as organizations increasingly rely on data-driven insights for competitive advantage. Data scientists remain in high demand across industries, with employers seeking professionals who can extract actionable intelligence from complex datasets.

Career Trajectory:

• Entry-level positions typically require a bachelor’s degree in mathematics, statistics, computer science, or related field
• Many positions prefer candidates with advanced degrees (master’s or PhD) or specialized certifications
• Experience with programming languages (Python, R, SQL) and data visualization tools is essential
• Advanced skills in machine learning and cloud platforms command premium compensation

The role of data scientist has evolved significantly over the past decade, with increasing emphasis on business acumen, communication skills, and domain expertise alongside technical capabilities. Professionals who can bridge the gap between complex analytics and business strategy tend to advance more rapidly and earn higher compensation.

Salary Negotiation and Career Growth

When evaluating a data scientist position in Richmond, consider the total compensation package beyond base salary. Benefits, stock options, remote work flexibility, professional development opportunities, and bonuses can significantly impact your overall earnings.

Factors Affecting Your Salary:

• Years of relevant experience
• Educational credentials and certifications
• Technical skills and specializations
• Industry sector (tech typically pays higher than non-tech)
• Company size and profitability
• Specific role responsibilities and seniority level

Richmond’s job market for data scientists remains competitive, giving qualified candidates leverage in negotiations. Research company-specific compensation, understand your market value based on your experience level, and don’t hesitate to discuss salary expectations during the interview process.

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Frequently Asked Questions

What qualifications do I need to become a data scientist in Richmond?

Most data scientist positions in Richmond require at minimum a bachelor’s degree in mathematics, statistics, computer science, engineering, or a related quantitative field. Many employers prefer candidates with a master’s degree or PhD, particularly for senior roles. Essential technical skills include proficiency in Python or R programming, SQL database management, and statistical analysis. Experience with machine learning frameworks, cloud platforms (AWS, Azure, GCP), and data visualization tools is highly valued. Additionally, strong communication skills and business acumen help data scientists translate complex analyses into actionable insights for stakeholders.

How does the Richmond data scientist salary compare to other cities?

The $127,090 average salary in Richmond is competitive for a mid-sized metropolitan area. Larger tech hubs like San Francisco, Seattle, and New York typically offer higher salaries due to higher costs of living and intense competition for talent. However, Richmond’s moderate cost of living means your salary has greater purchasing power than the same nominal amount in expensive coastal cities. When considering relocation, factor in housing costs, taxes, and quality of life alongside the salary figure to make an informed decision.

Is a data scientist salary in Richmond sufficient for a comfortable lifestyle?

At $127,090 annually, a data scientist in Richmond can support a comfortable middle-class lifestyle. This salary level typically allows for housing in desirable neighborhoods, reliable transportation, healthcare, and discretionary spending. Your actual purchasing power depends on personal circumstances including family size, debt obligations, and lifestyle preferences. Richmond’s moderate cost of living compared to national averages means this salary provides solid financial security for most individuals and families.

What’s the typical career progression for data scientists in Richmond?

Data scientists typically progress from junior analyst or entry-level data scientist roles to senior data scientist, lead data scientist, or management positions such as data science manager or director. Career advancement often involves developing specialized expertise in machine learning, business strategy, or specific industry domains. Many experienced data scientists transition into leadership roles, consulting, or start their own ventures. Continuous learning through certifications, advanced degrees, and skill development is essential for career growth and salary increases in this rapidly evolving field.

Are there opportunities for remote work in data science positions in Richmond?

Yes, remote work has become increasingly common in data science roles, particularly since 2020. Many Richmond-based companies and national organizations hiring for Richmond positions offer flexible work arrangements. Remote flexibility can expand your job opportunities beyond the local market and may provide salary negotiation advantages. However, some positions, particularly those requiring close collaboration with business stakeholders or involving sensitive data, may require on-site or hybrid arrangements. Discuss remote work expectations during the interview process.

What industries in Richmond hire the most data scientists?

Richmond has growing demand for data scientists across multiple sectors including financial services, healthcare systems, government agencies, technology companies, and consulting firms. The presence of major financial institutions, healthcare networks, and government offices creates substantial opportunities. Additionally, the region’s growing startup ecosystem and technology sector expansion are creating new roles. Industry choice can impact both salary and work environment, so consider your career goals and preferred industry when evaluating opportunities.

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Data Source: Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), 2024. SOC Code: 15-2051 (Data Scientists and Mathematical Science Occupations). Richmond MSA: 40060.

Last Updated: April 10, 2026

Disclaimer: This salary information is based on publicly available data from the Bureau of Labor Statistics and represents aggregate figures for the Richmond metropolitan area. Actual compensation varies significantly based on individual qualifications, employer, specific role, and market conditions. This content is informational and should not be considered financial or career advice. Consult with career counselors, recruiters, or HR professionals for personalized guidance on salary negotiations and career planning.