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Director Data Science Startup 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 ...

OpenFX

Data Science & Analytics Lead

Miami, FL · On-site

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our ... Direct experience with crypto/blockchain analytics. * Startup experience is highly preferred.

F-Prime Capital

Director, Data Operations

Jacksonville, FL · On-site

$180 - $220/hr

Director, Data Operations COMPANY: Canoe Intelligence LOCATION: Jacksonville, NYC, or London Hybrid ... Startup mindset you thrive where the playbook doesn't exist yet and you're the one writing it Why ...

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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Director Data Science Startup information

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

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The most popular types of Data Science Startup jobs in Florida are:

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Director Data Science Startup jobs near you

Director, Data Science

SeaWorld Parks & Entertainment

Orlando, FL • On-site

Full-time

Re-posted 9 days ago

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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