Data Scientist Salary in Columbus 2025

Quick Answer

Data Scientist Salary in Columbus: Full Breakdown

Data scientists in Columbus earn a solid middle-class income, with the 2024 mean salary of $103,190 reflecting strong demand for analytics and machine learning expertise in the region. This figure comes from the BLS OEWS survey, the most comprehensive source for occupational wage data in the United States.

Key Salary Metric (2024 BLS Data):

• Annual Mean Salary: $103,190
• Survey Source: Bureau of Labor Statistics OEWS
• Occupational Classification: SOC 15-2051 (Data Scientists and Mathematical Science Occupations)
• Geographic Area: Columbus Metropolitan Statistical Area

The $103,190 annual mean salary reflects the average compensation across all experience levels, company sizes, and industries employing data scientists in the Columbus area. This includes positions in technology, finance, healthcare, insurance, and manufacturing sectors that have significant presence in central Ohio.

Cost of Living Context

Understanding Columbus’s cost of living is essential for evaluating whether the $103,190 salary provides strong purchasing power. Columbus is generally considered an affordable major metropolitan area compared to coastal tech hubs, which means your salary stretches further here than it would in cities like San Francisco or New York.

Columbus Cost of Living Factors:

• Columbus has a lower-than-average cost of living for a major U.S. metropolitan area
• Housing, utilities, and general expenses are moderate compared to national averages
• The city offers good value for professionals earning six-figure salaries

A data scientist earning $103,190 annually in Columbus takes home approximately $6,200–$6,500 monthly (depending on tax withholdings and deductions). This provides substantial discretionary income after covering typical expenses in the region.

Salary Trends and Market Context

The $103,190 mean salary for data scientists in Columbus reflects a maturing job market. Data science has evolved from an emerging specialty to an established career path, and Columbus’s growing tech ecosystem—anchored by major employers in insurance, healthcare IT, and business analytics—supports competitive compensation.

Why Columbus Offers Strong Data Science Compensation:

1. Insurance and Financial Services Hub: Columbus hosts major insurance companies and financial institutions that invest heavily in data analytics and risk modeling.
2. Healthcare Technology Growth: Ohio State University and major health systems drive demand for healthcare data scientists.
3. Manufacturing Intelligence: Central Ohio’s manufacturing base increasingly relies on data science for supply chain optimization and predictive maintenance.
4. Lower Overhead Than Coastal Tech Centers: Columbus companies can offer competitive salaries without the extreme cost structures of Silicon Valley or New York.

The $103,190 figure represents a competitive wage that attracts and retains data science talent while remaining sustainable for employers in the region.

Job Outlook for Data Scientists

Data science continues to be one of the fastest-growing occupational categories. The field benefits from:

• Increasing data volumes: Every organization generates more data than ever before
• AI and machine learning adoption: Businesses are investing in predictive analytics and automation
• Regulatory requirements: Healthcare, finance, and insurance require sophisticated data governance
• Competitive intelligence: Companies use data science to gain market advantages

Columbus’s diversified economy means data scientists have opportunities across multiple industries rather than being concentrated in a single sector.

Factors Affecting Data Scientist Salary in Columbus

Several variables influence individual compensation within the $103,190 average:

Experience Level: Entry-level data scientists typically earn less; senior data scientists and machine learning engineers command premiums.

Industry Sector: Insurance and financial services often pay at the higher end; nonprofits and government typically pay less.

Company Size: Larger corporations and well-funded tech companies generally offer higher salaries than startups.

Specialization: Data scientists with expertise in specific domains (healthcare analytics, financial modeling, computer vision) may negotiate higher compensation.

Education and Credentials: Advanced degrees (Master’s in Data Science, Statistics, or Computer Science) and certifications can support higher salary negotiations.

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Frequently Asked Questions

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

Entry-level data scientists in Columbus typically earn between $70,000 and $85,000 annually. This is substantially below the $103,190 mean, reflecting the industry-wide pattern where junior data scientists command lower compensation. Starting salary depends heavily on educational background—graduates with Master’s degrees or relevant internship experience often start at the higher end of this range. The progression from entry-level to mean salary usually occurs over 3–5 years as professionals build portfolios, develop domain expertise, and demonstrate business impact.

How does data scientist salary in Columbus compare to the national average?

Columbus’s $103,190 mean salary for data scientists is competitive and reasonable for a Midwest metropolitan area. While coastal tech hubs like San Francisco and New York command higher nominal salaries (often $130,000–$160,000+), Columbus offers better cost-of-living adjusted compensation. When accounting for housing costs, taxes, and general expenses, a data scientist in Columbus has more disposable income relative to their salary than counterparts in expensive coastal markets. This makes Columbus an attractive option for professionals prioritizing purchasing power and quality of life.

Is it worth moving to Columbus for a data scientist position?

Columbus presents a compelling relocation opportunity for data scientists, particularly those prioritizing stability and affordability. The $103,190 mean salary supports a comfortable middle-class lifestyle in the region. The city offers lower housing costs than major tech centers, a growing job market with multiple industries hiring data scientists, and a reasonable cost of living. Additionally, Columbus has a strong educational presence (Ohio State University), a developing tech community, and good quality of life factors including cultural amenities and reasonable commute times. For professionals seeking to maximize savings or transition from expensive markets, Columbus is worth serious consideration.

What industries in Columbus hire data scientists?

Columbus’s diverse economy creates data science opportunities across multiple sectors. The insurance industry is the largest employer of data scientists in the region, given the concentration of major insurers headquartered in Columbus. Healthcare and healthcare IT represent another significant sector, driven by Ohio State University’s research programs and major health systems. Financial services, manufacturing, retail, and technology companies also employ data scientists. This diversification means data scientists in Columbus have optionality and aren’t dependent on a single industry for employment opportunities.

What skills command the highest data scientist salaries in Columbus?

Data scientists with expertise in machine learning, cloud platforms (AWS, Azure, GCP), and specific programming languages (Python, R, SQL) typically earn above the $103,190 mean. Domain expertise in healthcare analytics, financial modeling, or insurance risk assessment can also support premium compensation. Additionally, data scientists who can communicate findings to non-technical stakeholders and drive business decisions often advance faster and earn more. Leadership capabilities and the ability to manage data science teams are associated with the highest compensation levels.

How often do data scientist salaries increase in Columbus?

The BLS OEWS data represents a snapshot of 2024 compensation. Historically, data scientist salaries have grown steadily as demand for these roles increases and competition for talent intensifies. Individual salary growth depends on performance, skill development, job changes, and market conditions. Many data scientists see 5–15% annual increases through promotions or job transitions, particularly in the first 5–10 years of their career. Staying current with emerging technologies and demonstrating measurable business impact are key drivers of salary growth.

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Data source: Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), 2024. Occupational classification: SOC 15-2051. Geographic area: Columbus Metropolitan Statistical Area (MSA code 18140).

Last updated: April 10, 2026

Disclaimer: This article presents salary data based on public sources and surveys. Actual compensation varies based on individual qualifications, employer, industry, and market conditions. This content is informational and should not be considered financial or career advice. Consult with career professionals or recruiters for personalized guidance.