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Director Data Science Jobs in Florida (NOW HIRING)

CookUnity

Director, Data Science/ML

Miami, FL

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

University of Miami

Manager, Data Science

Miami, FL · On-site

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 ...

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$40.4K

$115.7K

$182.3K

How much do director data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director data science in Florida is $115,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $141,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the director data science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What is a director data science?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What types of teams and professionals will I collaborate with as a director data science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

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 Director Data Science jobs in Florida? For Director Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Director Data Science jobs in Florida look for? The top searched job categories for Director Data Science jobs in Florida are:
What cities in Florida are hiring for Director Data Science jobs? Cities in Florida with the most Director Data Science job openings:
Director Data Science jobs near you
Infographic showing various Director Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,735 per year, or $55.6 per hour.

Director, Data Science

SeaWorld Parks & Entertainment

Orlando, FL • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
SeaWorld Parks & Entertainment is a world-renowned leader in the themed-park and entertainment industry. They are seeking a Director of Data Science to develop and operationalize predictive models, build AI-driven learning tools, and drive marketing optimization strategies.
Responsibilities:
• Develop, test, and operationalize predictive and prescriptive models to enable right audience, right message, right channel marketing execution:
• Identify customers likely to purchase a Pass, Fun Card, Multi-Day, or Single-Day Ticket to optimize targeting and creative execution.
• Predict whether a guest is an Animal Lover, Thrill Seeker, or Foodie to tailor marketing creative, landing pages, and post-purchase engagement.
• Forecast LTV to inform Customer Acquisition Cost (CAC), prospect targeting, win-back strategies, and lapse/churn risk management.
• Build AI-driven learning tools to empower corporate and park teams with real-time, data-driven decision-making capabilities:
• Develop self-serve tools to measure the impact of marketing efforts, ticket pricing, and promotions on pass sales and visitation.
• Build models to assess offer impact by channel, optimize media mix, and forecast visitation based on geo-lift experiments.
• 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.
• 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.
• Drive agentic AI exploration, testing, and productionalization to automate real-time marketing decisions and revenue strategies:
• 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.
• 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).
• 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.
Qualifications:
Required:
• 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.
Company:
SeaWorld Parks & Entertainment™ is a leading theme park and entertainment company providing experiences that matter and inspiring guests to protect animals and the wild wonders of our world. Founded in 1959, the company is headquartered in Orlando, USA, with a team of 10001+ employees. The company is currently Late Stage.

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