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Data Science Government Jobs in Florida (NOW HIRING)

Lynker

Marine Sensor Data Scientist - AI/ML

Miami, FL · On-site

$110 - $160/hr

Prepare and archive datasets in accordance with government data-archiving requirements. * Maintain ... Generate science products that can be used by customers such as stock-assessment scientists.

Graham Technologies

Data Scientist

Tampa, FL · On-site

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... Experience supporting Department of Defense or Federal Government programs. * Experience supporting ...

Graham Technologies

Data Scientist

Tampa, FL · On-site

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... Experience supporting Department of Defense or Federal Government programs. * Experience supporting ...

Graham Technologies

Data Scientist

Tampa, FL · On-site

Conduct knowledge transfer sessions and provide training to Government personnel on analytical ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ...

Graham Tech

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

Master\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Experience supporting Department of Defense or Federal Government programs. * Experience supporting ...

Graham Technologies

Data Scientist

Tampa, FL

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... Experience supporting Department of Defense or Federal Government programs. * Experience supporting ...

Parsons

Bachelor's degree in Data Science, Business Analytics, Information Systems, Computer Science ... Experience supporting DoD, Intelligence Community, Federal Government, or other mission-critical ...

New

Endurion

Data Scientist

Tampa, FL · On-site

Expert Python developer using many different machine learning and data science frameworks including ... data for government. * Effective communicator, support technical exchanges with scientists and ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

... support a federal government client. Please note that the availability of this position is ... A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) ...

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All JobsData Science Government JobsData Science Government Jobs in Florida

Data Science Government information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data science government jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science government in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 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 Florida?

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

What job categories do people searching Data Science Government jobs in Florida look for?

The top searched job categories for Data Science Government jobs in Florida are:

What cities in Florida are hiring for Data Science Government jobs?

Cities in Florida with the most Data Science Government job openings:

Data Science Government jobs near you
Infographic showing various Data Science Government job openings in Florida as of August 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Associate Data Scientist

Intercontinental Exchange Holdings, Inc.

Jacksonville, FL • On-site

$54K - $54K/yr

Full-time

Re-posted 28 days ago

Job description

Overview
US Citizens only
Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. § 1324b(a)(3)) status.
Job Purpose
Intercontinental Exchange is seeking a Data Scientist I to join our Loan Data team. As a Data Scientist I, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market.
Intercontinental Exchange (ICE) is a global network of exchanges and clearing houses that operates a range of markets, including financial, agricultural, and energy. Our exchanges, including the New York Stock Exchange (NYSE), ICE Futures, and ICE Clear, provide a platform for buyers and sellers to trade and manage risk. We are committed to delivering innovative solutions that meet the evolving needs of our clients and drive growth in the global economy.
Responsibilities
  • Loan Data Analysis:
    • Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms).
    • Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools.
    • Develop and maintain databases and data systems to support loan data analysis and modeling.
  • Data Quality & Data Stewardship
    • Monitor and assess the quality of loan data across internal and external sources.
    • Identify data quality issues, anomalies, and inconsistencies through analysis and validation checks.
    • Partner with data providers, clients, developers, and stakeholders to investigate root causes and drive issue remediation.
    • Contribute to the development of data quality rules, monitoring processes, and controls.
    • Document data quality issues and track resolution progress.
  • Insight Generation:
    • Communicate complex loan data insights and model results to non-technical stakeholders.
    • Develop and present reports, dashboards, and visualizations to support business decisions.
    • Collaborate with stakeholders to identify business problems and develop data-driven solutions.
  • Data Engineering:
    • Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
    • Collaborate with data engineers to implement data solutions and integrate with existing systems.
  • Research and Development:
    • Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
    • Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.

Knowledge and Experience
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn).
  • Experience with loan data analysis, machine learning, and data visualization.
  • Familiarity with relational database tools and environments such as SSMS, along with exposure to modern data platforms such as Databricks or Snowflake.
  • Experience with AI-assisted development and analytics tools and ability to incorporate them into data analysis and workflow processes.
  • Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions.
  • Experience with data visualization tools (e.g., Sigma, Tableau, Power BI).
  • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

Nice to Have
  • Advanced Degree:
    • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Certifications:
    • Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications.
  • Cloud Computing:
    • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
  • Domain Expertise:
    • Familiarity with loan markets, loan products, and lending regulations.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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