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Data Science Jobs in Florida (NOW HIRING)

AEVEX

Program Data Science Analyst

Tampa, FL

This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and ...

JANUS Research Group

Data Science Specialist

Pensacola, FL · On-site

$68K - $72K/yr

Objective The Data Science Specialistadvises on the potential benefits/uses of automation to improve the efficiency of program operations; Analyzes a variety of data sources to provide data-driven ...

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 ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

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 ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis. * Manipulates or converts data according to analysis ...

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Data Science information

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$28K

$91.7K

$146.8K

How much do data science jobs pay per year?

As of Jul 24, 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 data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.
Director, Data Science

Director, Data Science

SeaWorld Parks & Entertainment

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

SeaWorld is a world-renowned leader in the themed-park and entertainment industry. Our success is built on a passion for caring for animals and a dedication to delivering positive, memorable experiences to people from around the world. Were also committed to helping ambitious people achieve their professional best. We're always seeking exceptionally skilled and knowledgeable individuals to join our team.
Onsite: Miami, FL
Key Responsibilities
Predictive & Prescriptive Modeling
Develop, test, and operationalize predictive and prescriptive models to enable right audience, right message, right channel marketing execution:
  • Ticket & Pass Prediction - Identify customers likely to purchase a Pass, Fun Card, Multi-Day, or Single-Day Ticket to optimize targeting and creative execution.
  • Guest Interest Classification - Predict whether a guest is an Animal Lover, Thrill Seeker, or Foodie to tailor marketing creative, landing pages, and post-purchase engagement.
  • Customer Lifetime Value (LTV) & Churn Prediction - Forecast LTV to inform Customer Acquisition Cost (CAC), prospect targeting, win-back strategies, and lapse/churn risk management.

AI-Powered Learning Platforms & Self-Service Tools
Build AI-driven learning tools to empower corporate and park teams with real-time, data-driven decision-making capabilities:
  • Causal Analysis - Develop self-serve tools to measure the impact of marketing efforts, ticket pricing, and promotions on pass sales and visitation.
  • Geo Lift, Market Mix Modeling & Budget Optimization - Build models to assess offer impact by channel, optimize media mix, and forecast visitation based on geo-lift experiments.

Performance Management & Anomaly Detection - Create a real-time performance tracking system in Databricks, integrating spend, impressions, clicks, and purchases with:
  • Automated anomaly detection triggering alerts when deviations exceed a set threshold from plan, last week, or year-over-year trends.
  • Root cause diagnostics to enable teams to take immediate corrective action.
  • Customer Behavior & Sentiment Analysis - Build a queryable platform that triangulates business results, marketing performance, surveys, and social listening, enabling teams to:
  • Use natural language queries for insights.
  • Support conversational commerce by analyzing web recordings, call center transcripts, and social forum discussions.

Agentic AI for Marketing & Revenue Optimization
Drive agentic AI exploration, testing, and productionalization to automate real-time marketing decisions and revenue strategies:
  • AI-Driven Media & Offer Optimization
  • Develop AI agents that adjust channel spend in real-time to meet pass/ticket and visit goals within budget constraints.
  • Enable certain AI-driven offer optimizations to be auto-deployed, while others require human authorization.
  • Predictive Demand & Geo-Fenced Offer Automation
  • Forecast daily and next-day attendance and trigger geo-fenced, time-sensitive offers (e.g., 4 PM-to-close tickets, animal encounter day-of offers).
  • AI-Powered Content & Creative Optimization
  • Use contextual AI to auto-optimize email offers, messages, and images.
  • Deploy generative AI to create dynamic content variations based on guest behavior and engagement.

What We're Looking For
  • Expertise in AI, machine learning, and predictive modeling with a track record of deploying real-time marketing optimization solutions.
  • Strong experience with Databricks, Python, SQL, Spark, and cloud platforms (AWS/GCP).
  • Ability to translate AI-driven insights into tangible business strategies that impact revenue and guest engagement.
  • 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.

The perks of the position:
  • Paid Time Off
  • Complimentary Park Tickets and Passes
  • Park Discounts on Food and Merchandise
  • Medical, Dental, and Vision Insurance
  • 401K Retirement plan
  • Voluntary Insurance
  • Life Insurance
  • Disability Benefits
  • Tuition Reimbursement
  • Dependent and Health Care Flexible Spending Accounts
  • Employee Assistance Program
  • Legal Assistance Plan

EEO Employer:
SEAWORLD PARKS & ENTERTAINMENT IS AN EQUAL OPPORTUNITY EMPLOYER. ALL APPLICANTS WILL BE CONSIDERED WITHOUT REGARD TO AGE, RACE, COLOR, RELIGION, SEX, NATIONAL ORIGIN, SEXUAL ORIENTATION, PREGNANCY, GENDER IDENTITY OR EXPRESSION, DISABILITY OR COVERED VETERAN STATUS.

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