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Flexible Data Science Jobs in Florida (NOW HIRING)

kgs

Data Scientist

Cape Canaveral, FL · On-site

... flexible spending accounts, paid holidays, three weeks paid time off, and more. Koniag IT Systems, ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

kgs

Data Scientist

Cape Canaveral, FL

... flexible spending accounts, paid holidays, three weeks paid time off, and more. Koniag IT Systems, ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Chewy

Senior Data Scientist

Plantation, FL

$109K - $190K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ... We offer parental leave, family services benefits, backup dependent care, flexible spending ...

Socket.dev

Data Scientist

Miami, FL · On-site

$130 - $150/hr

Why We\'re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ... Our priority is finding the right people, we can be flexible with job title/leveling.* Why You Will ...

Graham Technologies

Data Scientist

Tampa, FL · On-site

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... Flexible Schedules * Reimbursements for Continued Education and Training Why Graham Technologies?

Graham Technologies

Data Scientist

Tampa, FL

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... Flexible Schedules * Reimbursements for Continued Education and Training Why Graham Technologies?

Graham Technologies

Data Scientist

Tampa, FL

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations ... Flexible Schedules * Reimbursements for Continued Education and Training Why Graham Technologies?

Graham Tech

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

Master\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Flexible Schedules * Reimbursements for Continued Education and Training Why Graham Technologies?

Programmers.io

Data Analyst

Tampa, FL · On-site

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data ... Bachelor's/master's in computer science or equivalent (can be marked optional or flexible ...

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Flexible Data Science information

How does a flexible data science role typically structure collaboration and workload across multiple projects?

In a flexible data science role, professionals often work on several projects simultaneously, collaborating with cross-functional teams such as engineering, product management, and business stakeholders. This structure requires strong communication skills and the ability to prioritize tasks effectively. The work environment is usually dynamic, with shifting priorities and the need to adapt to different project requirements. Flexibility in both working hours and methodologies enables data scientists to manage deadlines while delivering actionable insights for diverse business needs.

What is flexible data science?

Flexible data science refers to the practice of applying data science methods, tools, and techniques in a way that adapts to different industries, project requirements, and work environments. Professionals in flexible data science may work remotely, part-time, on contract, or across multiple domains, using skills in statistics, programming, and data analysis to solve a variety of problems. This approach allows both employers and data scientists to adjust workflows and deliverables to fit changing business needs and schedules.

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

To thrive as a Flexible Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), data visualization tools (such as Tableau or Power BI), and experience with cloud platforms are widely required. Adaptability, problem-solving, and effective communication are crucial soft skills for translating complex data insights into actionable business strategies. These competencies ensure you can handle varied data challenges, deliver valuable insights, and collaborate effectively across dynamic project environments.
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 Flexible Data Science jobs in Florida? For Flexible Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Flexible Data Science jobs in Florida look for? The top searched job categories for Flexible Data Science jobs in Florida are:
What cities in Florida are hiring for Flexible Data Science jobs? Cities in Florida with the most Flexible Data Science job openings:
Flexible Data Science jobs near you
Infographic showing various Flexible Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Director, Data Science

SeaWorld Parks & Entertainment

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

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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