Director, Data Science

Predictive & Prescriptive Modeling

• 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

• 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.

Performance Management & Anomaly Detection

• 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

• 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
• 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.