Data Scientist Jobs in Cape Coral, FL

Cape Coral, Florida$128,700 USD/yearFull-time
Updated: March 2026Expert reviewed|Data sourced from BLS, Glassdoor, and industry reports

Data Scientist Salary in Cape Coral

Entry Level
$84,150
Median
$128,700
Senior Level
$182,160

Data Scientist salaries in Cape Coral are in line with national averages, offering competitive compensation for the region.

Purchasing power in Cape Coral is comparable to the national average, with salaries appropriately scaled to local costs.

Required Skills

PythonMachine LearningSQLStatisticsData Visualization

Data Scientist Job Market in Cape Coral

Cape Coral, FL is a specialized market with unique career opportunities for Data Scientist professionals. Though smaller than coastal metros, Cape Coral offers focused opportunities and often better work-life balance. While Healthcare leads the local economy, there's growing demand for Data Scientist roles across various sectors. With high demand and 36% projected growth, qualified Data Scientists often receive multiple offers and competitive packages.

Top Companies Hiring Data Scientists in Cape Coral

Local tech startupsRegional IT firmsNational tech companies with local offices

Major employers hiring Data Scientists in Cape Coral include Local tech startups, Regional IT firms, National tech companies with local offices. Many companies offer competitive benefits including remote/hybrid work options, comprehensive healthcare, and professional development opportunities.

Cost of Living for Data Scientists in Cape Coral

Living in Cape Coral as a Data Scientist means navigating a cost of living that's close to the national average. Average rent for a 1-bedroom apartment is approximately $1,800/month. At median Data Scientist salary, housing is quite affordable at 17% of gross income, leaving room for savings and lifestyle spending. Suburban apartments average $1,400/month, offering significant savings with slightly longer commutes.

99
Cost Index (100=avg)
$1.8K
Avg Rent/Month
Growing
Tech Hub
Tier 4
Market Size

Commuting as a Data Scientist in Cape Coral

Cape Coral Limited public transit options; car recommended for most commutes. The average commute time is 25 minutes. Research employer-specific shuttle services. Consider living close to your workplace. Many Data Scientist positions offer remote or hybrid options, which can significantly reduce commute frequency.

Best neighborhoods for Data Scientists in Cape Coral: Downtown (Central business district with tech companies); Tech Park/Campus (Suburban office park developments). Downtown is particularly popular among Data Scientist professionals due to proximity to major employers and urban amenities.

Tax Considerations in Florida

Florida has no state income tax. Compared to a state with 5% income tax, a Data Scientist earning $128,700 would save approximately $6,435 annually. This makes Cape Coral attractive for high earners, though property taxes and sales tax help fund state services.

Career Outlook for Data Scientists

The job outlook for Data Scientists in Cape Coral is growing. Industry projections suggest 36% growth over the next decade, outpacing many other professions. While the market is smaller, Cape Coral offers opportunities for those seeking specialized roles or better work-life balance. In-demand skills include Python, Machine Learning, SQL, Statistics.

Relocating to Cape Coral

Florida has no state income tax, which can add thousands to your annual take-home pay compared to high-tax states like California or New York. Many Data Scientist roles offer remote work. If relocating primarily for a job, confirm the remote policy - you may have more location flexibility than expected.

Remote Work for Data Scientists in Cape Coral

Data Scientist roles are highly suited for remote work, and many Cape Coral employers offer fully remote or hybrid positions. This flexibility can significantly impact your housing choices - you may be able to live in more affordable neighborhoods further from downtown.

Frequently Asked Questions

What is the average Data Scientist salary in Cape Coral, FL?

The average Data Scientist salary in Cape Coral, FL is $128,700 per year. Entry-level Data Scientists typically start around $84,150, while experienced professionals can earn $182,160 or more. The national average for Data Scientist roles is $130,000.

How many Data Scientist jobs are available in Cape Coral?

Cape Coral has a growing job market with steady opportunities for Data Scientist professionals. Major employers hiring Data Scientists include Local tech startups, Regional IT firms, National tech companies with local offices. The Healthcare and Construction sectors drive much of the demand in this market.

Is Cape Coral a good city for Data Scientists?

Cape Coral is an solid choice for Data Scientists. While not as large as coastal metros, it offers solid opportunities and often better work-life balance. The cost of living is reasonable compared to major coastal cities. The city's healthcare industry creates strong demand for technology & software professionals.

What skills are most in-demand for Data Scientists in Cape Coral?

Top skills for Data Scientists in Cape Coral include Python, Machine Learning, SQL, Statistics, Data Visualization. Employers value both technical expertise and soft skills like communication and teamwork. Relevant certifications like Google Data Analytics or IBM Data Science can strengthen your candidacy.

What is the cost of living for Data Scientists in Cape Coral?

Cape Coral's cost of living is near the national average (99% of baseline). Average rent for a 1-bedroom apartment is approximately $1,800/month. Purchasing power in Cape Coral is comparable to the national average, with salaries appropriately scaled to local costs.

How is the commute for Data Scientists in Cape Coral?

Cape Coral Limited public transit options; car recommended for most commutes. The average commute is 25 minutes. Research employer-specific shuttle services. Many Data Scientist positions offer remote or hybrid work options, which can significantly reduce commute frequency.

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