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Data Science Analytics Jobs in Florida (NOW HIRING)

Maximus

Chief Data Scientist

Tampa, FL · On-site

TCS071, T5, Band 8 Job-Specific Essential Duties and Responsiblities: - Serves as the senior technical authority for data science, analytics, and AI/ML, setting strategy aligned with enterprise and ...

AEVEX

Program Data Science Analyst

Tampa, FL

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

AEVEX

Program Data Science Analyst

Tampa, FL

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Write production-level code for robust analytics products, ensuring scalability and maintainability. * Collaborate with data and software engineers to support data science solutions through the ...

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Showing results 1-20

All JobsData Science Analytics JobsData Science Analytics Jobs in Florida

Data Science Analytics information

See Florida salary details

$18

$40

$70

How much do data science analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data science analytics in Florida is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $32.88 and $46.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are the most commonly searched types of Data Science Analytics jobs in Florida? The most popular types of Data Science Analytics jobs in Florida are:
What are popular job titles related to Data Science Analytics jobs in Florida? For Data Science Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Florida look for? The top searched job categories for Data Science Analytics jobs in Florida are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Florida as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $85,097 per year, or $40.9 per hour.
Data Science & Analytics Technical Lead (SOCOM)

Data Science & Analytics Technical Lead (SOCOM)

Data Systems Analysts, Inc.

Tampa, FL • On-site

Full-time

Posted 7 days ago

Job description

All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.
Overview
DSA is seeking a Data Science & Analytics Technical Lead to support SOCOM in advancing enterprise data, analytics, and AI capabilities. This role serves as the senior technical authority for data science and AI-enabled solution delivery, leading the design, transition, and sustainment of mission-focused capabilities across the SOF enterprise.
Location
Tampa, FL (MacDill AFB)
CONUS and OCONUS travel required
Responsibilities
  • Provide technical leadership for the design, development, and delivery of data science, analytics, and AI capabilities across the SOF enterprise, supporting HQ Staff, Service Components, and Theater Special Operations Commands
  • Lead the end-to-end lifecycle for analytics and AI capabilities, from problem framing and model development through deployment, user adoption, performance measurement, and sustainment
  • Apply descriptive, diagnostic, predictive, and prescriptive analytics to structured and unstructured data to generate mission-relevant insight for operators and decision-makers
  • Translate complex data and analytical outputs into actionable intelligence that supports operational planning, targeting, and decision advantage
  • Lead development, testing, operational deployment, and sustainment of AI and analytics solutions, ensuring capabilities move from prototype to mission use in operational environments
  • Lead advanced AI experimentation, modeling, and evaluation efforts to assess feasibility, mission utility, scalability, and transition potential for emerging analytic solutions
  • Design and develop data visualization solutions that communicate analytic results clearly and effectively to technical and non-technical stakeholders
  • Collaborate with engineering, platform, and mission teams to operationalize analytics and embed AI-enabled capabilities into production systems, mission workflows, and existing SOF analytic environments
  • Lead and mentor cross functional teams spanning data science, engineering, platform, and mission stakeholders, providing technical direction and execution oversight across multiple efforts and locations
  • Establish and enforce standards for model governance, reproducibility, documentation, and lifecycle management
  • Support development of enterprise analytics capabilities aligned with SOCOM data strategies, governance frameworks, and security requirements
  • Design and test analytics and AI-enabled solutions in collaboration with SOF stakeholders and end users, ensuring alignment with operational needs
  • Account for operational constraints such as limited bandwidth, disconnected environments, and contested conditions when designing and deploying analytics solutions
  • Conduct feasibility and suitability assessments for analytics and AI use cases, including performance expectations, scalability, and sustainment considerations
  • Operate effectively across classified, distributed, and mission-critical environments
  • Engage and brief senior government leadership on analytic outcomes, technical tradeoffs, risks, and mission impact, translating complex AI and analytics work into recommendations
Required Qualifications
  • Active TS/SCI clearance
  • Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related technical field
  • 10+ years of experience in data science, analytics, or AI/ML development
  • 5+ years of experience leading data science or analytics teams within DoD, IC, or SOF environments
  • 5+ years of experience providing analytical support to SOF mission environments
  • Experience supporting SOF Enterprise organizations, including SOCOM HQ, TSOCs, and Service Component Commands
  • Experience centrally managing or leading distributed technical teams across multiple organizations or locations
  • Demonstrated experience delivering analytics and AI solutions from concept through operational deployment, user adoption, and sustained mission use
  • Experience applying advanced analytics techniques, including predictive modeling, machine learning, and statistical analysis, to mission data
  • Experience working with large, complex, multi-source data sets in operational or mission environments
  • Strong programming experience in Python and/or R and experience with relevant machine learning frameworks
  • Demonstrated ability to lead analytics and AI efforts in mission-critical environments with rapidly evolving priorities, compressed timelines, and changing operational requirements
  • Proven ability to mentor technical teams, guide solution development in ambiguous environments, and raise the quality and consistency of analytics and AI delivery across multiple efforts
Desired Qualifications
  • 3+ years of experience managing or supporting SOF digital capabilities or enterprise analytics initiatives
  • 3+ years of experience supporting SOF HQ elements, Service Components, or Theater Special Operations Commands
  • Experience supporting advanced AI experimentation or operational analytics capabilities in mission environments with constrained infrastructure, distributed users, or disconnected operations
  • Experience leading AI/ML experimentation, modeling, and simulation efforts in support of mission use cases
  • Experience integrating analytics and AI capabilities into operational systems and workflows
  • Experience with data visualization tools and techniques for communicating complex insights to senior leaders
  • Experience working in cloud, hybrid, or distributed computing environments supporting data and analytics platforms
  • Familiarity with DevSecOps practices and collaboration with engineering teams to deploy analytics solutions
  • Experience operating in high-tempo environments with rapidly evolving mission priorities

Many of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.

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