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Data Science Jobs in Florida (NOW HIRING)

Prescient Edge

Data Science Lead

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

University of Miami

Manager, Data Science

Miami, FL

  • Medical

  • Dental

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and deployment of technology-based resources to promote systemwide optimization and standardization of ...

The University of Miami

Manager, Data Science

Miami, FL · On-site

  • Medical

  • Dental

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and deployment of technology-based resources to promote systemwide optimization and standardization of ...

SeaWorld Parks & Entertainment

Director, Data Science

Miami, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in leading data science teams and collaborating with marketing, sales, and product teams. * Strong understanding of media optimization, attribution modeling, and real-time decisioning AI.

Cliftonlarsonallen

Manager of Data Science

Naples, FL

  • Medical

  • Dental

  • Vision

  • Retirement

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

Cliftonlarsonallen

Manager of Data Science

Orlando, FL

  • Medical

  • Dental

  • Vision

  • Retirement

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

YO AI Labs

AI Data Science Expert - Remote

Miami, FL · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

Booz Allen Hamilton

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

Booz Allen Hamilton

Data Scientist

Doral, FL

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

Lorven Technologies

Data Scientist

Tampa, FL · On-site

Skills / Experience: * 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production * 5+ years of experience in Python - Pandas, PySpark, scikit-learn, Azure ML or ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Florida

Data Science information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Florida?

The most popular types of Data Science jobs in Florida are:

What are popular job titles related to Data Science jobs in Florida?

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

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

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

What cities in Florida are hiring for Data Science jobs?

Cities in Florida with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Science Lead

Prescient Edge

Doral, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

Job Title
Data Science Lead
Location
Doral, FL 33122 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Master's Degree
Travel
Security Clearance Required
TS/SCI
Job Description
Prescient Edge is seeking a Data Science Lead to support a federal government client.
Please note that the availability of this position is contingent upon.
Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

Description:
  • Oversee the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs.
  • Establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.
  • Submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration.
  • Coordinate to access compute and storage resources required to support large-scale model training and analytics workloads, including GPU accelerated environments, high-performance object storage, and parallel data processing capabilities.
  • Fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Job Requirements
Experience:
  • Possess the knowledge and capability to lead the development of predictive and prescriptive analytics, ensuring alignment with mission objectives and the integration of AI/ML driven insights.
  • Personnel must be proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
  • Personnel must have experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams. Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.
  • Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
  • Experience in mission-focused analytics, data driven decision support, and integration of statistical and machine learning techniques is required.
  • Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.

Education:
  • A Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related field, or eleven (11) years of equivalent experience in leading AI/ML-driven analytics programs.
  • Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).

Security clearance:
  • Active TS/SCI clearance.

Location:
  • Doral, Florida. (USSOUTHCOM Headquarters)

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.
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About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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