Data Scientist Jobs in Florida
Data Scientist jobs in Florida are in strong demand, concentrated in financial services, healthcare, logistics, and defense contracting, with openings at every level from entry-level analyst to principal data scientist. Miami, Tampa, and Orlando account for the largest share of postings, anchored by established employers like Fidelity Investments, AdventHealth, and Lockheed Martin. The most sought-after specialties right now are machine learning engineering, healthcare analytics, and fraud detection modeling. Find a role that fits below and apply directly.
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About Us
Venatôre is a mission-driven government contractor based in Tampa, FL, supporting federal and civilian agencies with secure cutting-edge technology, cybersecurity, and mission support services. Our teams are trusted in demanding environments because we integrate with client missions, combining technical depth, operational precision, and innovative thinking to deliver meaningful results where they matter most.
About the Job
Venatôre is seeking an experienced Data Scientist to provide advanced data analytics, artificial intelligence (AI), machine learning (ML), and data visualization support to the Headquarters U.S. Central Command (HQ USCENTCOM) Operations Directorate at MacDill Air Force Base in Tampa, FL. This position plays a critical role in transforming complex structured and unstructured data into actionable insights that enhance operational planning, situational awareness, and mission decision-making. The Data Scientist will design, develop, and maintain data architectures, analytical models, and visualization tools while supporting operational data requirements across tactical, operational, and strategic levels. The ideal candidate will possess strong technical expertise, experience supporting Military, Federal, or Intelligence organizations, and the ability to communicate complex analytical findings to senior government and military stakeholders.
Responsibilities
Data Science & Advanced Analytics
- Collect, analyze, model, and interpret large volumes of structured and unstructured data to identify trends, patterns, and actionable insights supporting USCENTCOM operational requirements.
- Develop and implement advanced analytical methodologies, artificial intelligence, and machine learning solutions to enhance data exploitation and operational decision-making.
- Design, develop, and maintain scalable data architectures and analytical solutions supporting tactical, operational, and strategic mission requirements.
- Apply statistical analysis, predictive modeling, and data mining techniques to address complex operational challenges.
- Identify opportunities to improve data quality, accessibility, integration, and utilization across operational systems.
- Develop automated workflows and analytical processes using Python, R, and other applicable technologies.
Data Management & Visualization
- Support all operational data requirements for the HQ USCENTCOM Operations Directorate.
- Design, develop, implement, and maintain operational dashboards, data visualization tools, and reporting solutions.
- Perform data normalization, aggregation, transformation, and integration to ensure accuracy, consistency, and usability.
- Utilize Geographic Information Systems (GIS) and ESRI ArcGIS technologies to support geospatial analysis, mapping, and operational visualization requirements.
- Develop and maintain GIS-based analytical tools using ArcGIS Server, ArcSDE, ArcGIS ModelBuilder, and related technologies.
- Translate complex data sets into clear, actionable visualizations and reports for operational stakeholders.
- Support the integration of data from multiple sources to improve information sharing and mission effectiveness.
Technical Development & Process Improvement
- Design and implement AI/ML technical solutions that improve operational efficiency, analytical capabilities, and data-driven decision-making.
- Develop scripts and automated processes using Python and/or R to streamline GIS and non-GIS workflows.
- Evaluate emerging data science technologies, analytical methodologies, and automation tools for potential operational applications.
- Identify opportunities to enhance existing data management processes, analytical tools, and visualization capabilities.
- Maintain awareness of technological advancements and continuously expand technical expertise to support evolving mission requirements.
Operational Support & Stakeholder Coordination
- Collaborate with government operational representatives to identify, document, prioritize, and implement data science and analytics requirements.
- Provide technical guidance and analytical support to senior Military, Federal Government, and Intelligence stakeholders.
- Translate highly technical information into clear, concise, and actionable recommendations for operational audiences.
- Develop and deliver professional presentations, technical briefings, reports, and analytical products to government leadership.
- Provide oversight and monitor the performance of the Data Management contractor team to ensure alignment with mission objectives and operational requirements.
- Coordinate with cross-functional teams to support the successful delivery of data science projects and analytical solutions.
- Manage multiple projects and competing priorities in a dynamic, high-visibility, fast-paced operational environment.
Travel & Mission Readiness
- Maintain readiness for domestic and international travel in support of USCENTCOM operational requirements.
- Travel to authorized locations within the USCENTCOM AOR to support mission activities, stakeholder engagements, and operational initiatives.
- Comply with applicable government security, administrative, and travel requirements.
- Support mission requirements at designated locations while adhering to contract restrictions prohibiting combat zone travel.
Required Qualifications
- U.S. citizenship is required.
- Active Top Secret (TS) security clearance with eligibility for Sensitive Compartmented Information (SCI) access.
- Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, Information Technology, or a closely related technical discipline.
- Five (5) to ten (10) years of relevant professional experience in data science, advanced analytics, data architecture, or related technical fields.
- Demonstrated experience capturing, implementing, and managing data science requirements in support of senior Military, Federal Government, or Intelligence personnel.
- Experience designing, developing, and maintaining data architectures and analytical solutions.
- Proficiency in data normalization, data mining, aggregation, transformation, and visualization techniques.
- Experience designing, developing, implementing, and utilizing operational dashboards and data visualization tools.
- Hands-on experience with ESRI ArcGIS technologies, including ArcGIS Server, ArcSDE, and ArcGIS ModelBuilder.
- Demonstrated experience implementing artificial intelligence and machine learning solutions to address complex analytical or operational requirements.
- Proficiency in Python and/or R for automating GIS and non-GIS analytical tasks and workflows.
- Advanced proficiency with Microsoft Office 365 applications and related productivity tools.
- Excellent written and verbal communication skills, including the ability to develop professional technical documentation, analytical reports, and executive-level briefings.
- Ability to translate complex technical concepts and analytical findings into clear, actionable information for nontechnical and operational audiences.
- Demonstrated ability to manage and prioritize multiple projects, tasks, and competing requirements simultaneously.
- Ability to work independently and collaboratively in a dynamic, high-visibility, fast-paced operational environment.
- Strong analytical, critical-thinking, problem-solving, and organizational skills.
- Willingness and ability to travel domestically and internationally to authorized locations within the USCENTCOM AOR, excluding combat zones.
- Commitment to continuous professional development and maintaining proficiency with emerging data science, AI/ML, and analytical technologies.
Preferred Qualifications
- Master's degree in Data Science, Data Analytics, Computer Science, Information Technology, or a closely related technical discipline.
- Minimum of five (5) years of experience using Python to automate GIS and non-GIS tasks, workflows, and analytical processes.
- Experience working with relational databases and database management technologies, including T-SQL, MySQL, Oracle, PostgreSQL, or similar platforms.
- Experience designing, developing, and maintaining dashboards and interactive reports using Microsoft Power BI.
- Previous experience providing data science, advanced analytics, or AI/ML support to USCENTCOM, another Combatant Command, or a DoD organization.
- Experience integrating geospatial data, operational data, and advanced analytical models to support military planning and decision-making.
- Familiarity with data governance, data quality management, and enterprise-level data integration practices.
- Experience collaborating with multidisciplinary technical teams and senior government stakeholders on complex data science initiatives.
Benefits
Venatôre offers a competitive benefits package designed to support the well-being of our employees, including:
- Paid Time Off (PTO)
- 10 Federal Holidays
- 401(k) with company matching
- Medical, dental, and vision insurance
- Paid parental leave
- Paid military leave
Venatôre is a woman owned small business and an equal opportunity employer. We consider qualified applicants without regard to disability or protected veteran status.
About Us
Venatôre is a mission-driven government contractor based in Tampa, FL, supporting federal and civilian agencies with secure cutting-edge technology, cybersecurity, and mission support services. Our teams are trusted in demanding environments because we integrate with client missions, combining technical depth, operational precision, and innovative thinking to deliver meaningful results where they matter most.
About the Job
Venatôre is seeking an experienced Data Scientist to provide advanced data analytics, artificial intelligence (AI), machine learning (ML), and data visualization support to the Headquarters U.S. Central Command (HQ USCENTCOM) Operations Directorate at MacDill Air Force Base in Tampa, FL. This position plays a critical role in transforming complex structured and unstructured data into actionable insights that enhance operational planning, situational awareness, and mission decision-making. The Data Scientist will design, develop, and maintain data architectures, analytical models, and visualization tools while supporting operational data requirements across tactical, operational, and strategic levels. The ideal candidate will possess strong technical expertise, experience supporting Military, Federal, or Intelligence organizations, and the ability to communicate complex analytical findings to senior government and military stakeholders.
Responsibilities
Data Science & Advanced Analytics
- Collect, analyze, model, and interpret large volumes of structured and unstructured data to identify trends, patterns, and actionable insights supporting USCENTCOM operational requirements.
- Develop and implement advanced analytical methodologies, artificial intelligence, and machine learning solutions to enhance data exploitation and operational decision-making.
- Design, develop, and maintain scalable data architectures and analytical solutions supporting tactical, operational, and strategic mission requirements.
- Apply statistical analysis, predictive modeling, and data mining techniques to address complex operational challenges.
- Identify opportunities to improve data quality, accessibility, integration, and utilization across operational systems.
- Develop automated workflows and analytical processes using Python, R, and other applicable technologies.
Data Management & Visualization
- Support all operational data requirements for the HQ USCENTCOM Operations Directorate.
- Design, develop, implement, and maintain operational dashboards, data visualization tools, and reporting solutions.
- Perform data normalization, aggregation, transformation, and integration to ensure accuracy, consistency, and usability.
- Utilize Geographic Information Systems (GIS) and ESRI ArcGIS technologies to support geospatial analysis, mapping, and operational visualization requirements.
- Develop and maintain GIS-based analytical tools using ArcGIS Server, ArcSDE, ArcGIS ModelBuilder, and related technologies.
- Translate complex data sets into clear, actionable visualizations and reports for operational stakeholders.
- Support the integration of data from multiple sources to improve information sharing and mission effectiveness.
Technical Development & Process Improvement
- Design and implement AI/ML technical solutions that improve operational efficiency, analytical capabilities, and data-driven decision-making.
- Develop scripts and automated processes using Python and/or R to streamline GIS and non-GIS workflows.
- Evaluate emerging data science technologies, analytical methodologies, and automation tools for potential operational applications.
- Identify opportunities to enhance existing data management processes, analytical tools, and visualization capabilities.
- Maintain awareness of technological advancements and continuously expand technical expertise to support evolving mission requirements.
Operational Support & Stakeholder Coordination
- Collaborate with government operational representatives to identify, document, prioritize, and implement data science and analytics requirements.
- Provide technical guidance and analytical support to senior Military, Federal Government, and Intelligence stakeholders.
- Translate highly technical information into clear, concise, and actionable recommendations for operational audiences.
- Develop and deliver professional presentations, technical briefings, reports, and analytical products to government leadership.
- Provide oversight and monitor the performance of the Data Management contractor team to ensure alignment with mission objectives and operational requirements.
- Coordinate with cross-functional teams to support the successful delivery of data science projects and analytical solutions.
- Manage multiple projects and competing priorities in a dynamic, high-visibility, fast-paced operational environment.
Travel & Mission Readiness
- Maintain readiness for domestic and international travel in support of USCENTCOM operational requirements.
- Travel to authorized locations within the USCENTCOM AOR to support mission activities, stakeholder engagements, and operational initiatives.
- Comply with applicable government security, administrative, and travel requirements.
- Support mission requirements at designated locations while adhering to contract restrictions prohibiting combat zone travel.
Required Qualifications
- U.S. citizenship is required.
- Active Top Secret (TS) security clearance with eligibility for Sensitive Compartmented Information (SCI) access.
- Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, Information Technology, or a closely related technical discipline.
- Five (5) to ten (10) years of relevant professional experience in data science, advanced analytics, data architecture, or related technical fields.
- Demonstrated experience capturing, implementing, and managing data science requirements in support of senior Military, Federal Government, or Intelligence personnel.
- Experience designing, developing, and maintaining data architectures and analytical solutions.
- Proficiency in data normalization, data mining, aggregation, transformation, and visualization techniques.
- Experience designing, developing, implementing, and utilizing operational dashboards and data visualization tools.
- Hands-on experience with ESRI ArcGIS technologies, including ArcGIS Server, ArcSDE, and ArcGIS ModelBuilder.
- Demonstrated experience implementing artificial intelligence and machine learning solutions to address complex analytical or operational requirements.
- Proficiency in Python and/or R for automating GIS and non-GIS analytical tasks and workflows.
- Advanced proficiency with Microsoft Office 365 applications and related productivity tools.
- Excellent written and verbal communication skills, including the ability to develop professional technical documentation, analytical reports, and executive-level briefings.
- Ability to translate complex technical concepts and analytical findings into clear, actionable information for nontechnical and operational audiences.
- Demonstrated ability to manage and prioritize multiple projects, tasks, and competing requirements simultaneously.
- Ability to work independently and collaboratively in a dynamic, high-visibility, fast-paced operational environment.
- Strong analytical, critical-thinking, problem-solving, and organizational skills.
- Willingness and ability to travel domestically and internationally to authorized locations within the USCENTCOM AOR, excluding combat zones.
- Commitment to continuous professional development and maintaining proficiency with emerging data science, AI/ML, and analytical technologies.
Preferred Qualifications
- Master's degree in Data Science, Data Analytics, Computer Science, Information Technology, or a closely related technical discipline.
- Minimum of five (5) years of experience using Python to automate GIS and non-GIS tasks, workflows, and analytical processes.
- Experience working with relational databases and database management technologies, including T-SQL, MySQL, Oracle, PostgreSQL, or similar platforms.
- Experience designing, developing, and maintaining dashboards and interactive reports using Microsoft Power BI.
- Previous experience providing data science, advanced analytics, or AI/ML support to USCENTCOM, another Combatant Command, or a DoD organization.
- Experience integrating geospatial data, operational data, and advanced analytical models to support military planning and decision-making.
- Familiarity with data governance, data quality management, and enterprise-level data integration practices.
- Experience collaborating with multidisciplinary technical teams and senior government stakeholders on complex data science initiatives.
Benefits
Venatôre offers a competitive benefits package designed to support the well-being of our employees, including:
- Paid Time Off (PTO)
- 10 Federal Holidays
- 401(k) with company matching
- Medical, dental, and vision insurance
- Paid parental leave
- Paid military leave
Venatôre is a woman owned small business and an equal opportunity employer. We consider qualified applicants without regard to disability or protected veteran status.
See All 57 Data Scientist Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Data Scientist Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Technology & Software
- Manufacturing
- Investment & Asset Management
What Florida Employers Look For
The qualifications that appear most often in data scientist jobs across Florida.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Proficiency in Python or R for data manipulation, modeling, and statistical analysis
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to write and optimize SQL queries against large relational or cloud-based databases
- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib
- Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure for data pipeline work
Data Scientist Jobs in Florida: Frequently Asked Questions
How do you become a data scientist in Florida?
Florida does not require a state-issued license to work as a data scientist. Most Florida employers expect at minimum a bachelor's degree in data science, statistics, mathematics, or computer science, though many research-driven roles at universities and health systems prefer a master's degree. Building a portfolio of applied projects and earning cloud certifications from AWS or Google strengthens candidacy considerably in Florida's competitive technology and healthcare markets.
How much do data scientists make in Florida?
Data scientists in Florida earn a median of about $115,820 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,080 for the lowest 10% to over $174,140 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Florida?
Employers hiring data scientists in Florida right now include Booz Allen Hamilton, Hertz, and Photon, based on current listings on Migrate Mate as of November 2026. Florida's mix of large health systems, financial institutions, defense contractors, and fast-growing technology companies creates consistent demand for data science talent across the state.
Which Florida cities have the most data scientist jobs?
Tampa, Doral, and Miami have the highest concentration of data scientist openings in Florida. Miami's financial services and logistics sectors, Tampa's growing technology corridor and healthcare industry, and Orlando's simulation, defense, and theme park analytics operations each generate steady hiring pipelines that explain why these metros consistently lead the state in postings.
Are there remote data scientist jobs in Florida?
Yes, and more than most fields. About 43% of data scientist openings tied to Florida are remote or hybrid as of November 2026, reflecting how well the core work of modeling, scripting, and analysis translates to distributed teams. Roles focused on exploratory analysis and reporting skew most remote, while positions requiring direct collaboration with engineering or operations teams are more likely to require on-site presence.
How can I get hired as a data scientist in Florida with little or no experience?
The most realistic entry path is securing a data analyst or business intelligence analyst role first, then transitioning once you have applied modeling experience on your record. Large Florida health systems like AdventHealth and BayCare, as well as financial firms concentrated in Miami and Tampa, routinely hire junior analysts from local universities including the University of Florida and the University of South Florida. A portfolio of two or three end-to-end machine learning projects on GitHub, paired with a Google or AWS cloud certification, gives candidates without prior titles a concrete edge when applying.
Where can I find and apply to data scientist jobs in Florida?
You can find and apply to data scientist jobs in Florida on Migrate Mate, which lists current Florida openings. Find roles that fit your background and apply directly without creating an account or signing up.
See All 57 Data Scientist Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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