United Parks & Resorts is looking to optimize audience segmentation, marketing investment, and real-time guest engagement to drive revenue growth and enhance the overall guest experience through the development and deployment of advanced AI-driven predictive models, self-service analytics platforms, and agentic AI solutions.
Requirements
- 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).
- Strong understanding of media optimization, attribution modeling, and real-time decisioning AI.
Responsibilities
- Develop, test, and operationalize predictive and prescriptive models to enable right audience, right message, right channel marketing execution
- Build AI-driven learning tools to empower corporate and park teams with real-time, data-driven decision-making capabilities
- Create a real-time performance tracking system in Databricks, integrating spend, impressions, clicks, and purchases with automated anomaly detection and root cause diagnostics
- Build a queryable platform that triangulates business results, marketing performance, surveys, and social listening, enabling teams to use natural language queries for insights and support conversational commerce
- 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
- Forecast daily and next-day attendance and trigger geo-fenced, time-sensitive offers
Other
- 8+ years of progressive experience in data science and marketing analytics
- Master of Science in Analytics (Computational Data Analytics)
- Experience in both high-growth startups and large-scale consumer businesses, with direct ownership of projects
- 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.
- Excellent communication skills (written and oral) with an ability to adapt communication style to a number of different audiences.
- Ability to manage and prioritize diverse projects.
- Enthusiastic and confident change-agent with the ability to work in a demanding and fast paced environment.
