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Scientists In Parks Jobs in Miami, FL (NOW HIRING)

SeaWorld Parks & Entertainment

Director, Data Science

Miami, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SeaWorld is a world-renowned leader in the themed-park and entertainment industry. Our success is ... SEAWORLD PARKS & ENTERTAINMENT IS AN EQUAL OPPORTUNITY EMPLOYER. ALL APPLICANTS WILL BE CONSIDERED ...

National Park Service

Physical Scientist

Homestead, FL · On-site +1

$65K - $85K/yr

The incumbent serves as a technical advisor in the physical sciences for one or more parks. The physical scientist is responsible for program development and implementation including field activities ...

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All JobsScientists In Parks JobsScientists In Parks Jobs in Miami, FL

Scientists In Parks information

See Miami, FL salary details

$35.4K

$87K

$153K

How much do scientists in parks jobs pay per year?

As of Aug 17, 2026, the average yearly pay for scientists in parks in Miami, FL is $86,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $95,600.00 per year, depending on experience, location, and employer.

What is a Scientists in Parks?

Scientists in Parks (SIP) is a program that places early career professionals, students, and recent graduates in temporary positions within the National Park Service. Participants work on natural resource management, research, and science-based projects in national parks across the United States. The program provides hands-on experience and training in fields such as ecology, geology, environmental science, and cultural resource management. SIP positions are designed to support park needs while offering valuable career development opportunities for aspiring scientists.

What are the key skills and qualifications needed to thrive as a Scientists in Parks participant?

To thrive as a Scientists In Parks participant, you typically need a background in natural sciences or environmental studies, with relevant coursework or a degree in biology, ecology, geology, or a similar field. Familiarity with field research tools, GIS mapping software, data collection methods, and sometimes certifications like Wilderness First Aid are important. Strong observational skills, adaptability, teamwork, and effective communication help you excel in diverse outdoor settings and collaborative projects. These skills ensure accurate scientific contributions, safety, and meaningful engagement with park resource management and public outreach.

How do Scientists in Parks typically collaborate with National Park Service staff and other stakeholders during their projects?

Scientists in Parks usually work closely with National Park Service (NPS) staff, including park rangers, resource managers, and interpretive teams, to ensure their research aligns with park management goals. They may also coordinate with external partners such as universities, community organizations, and volunteers. Regular meetings, fieldwork, and presentations are common ways these collaborations happen, fostering a team-oriented environment and promoting knowledge sharing. This collaborative structure not only enhances research outcomes but also provides valuable networking and professional development opportunities.

What is the difference between Scientists In Parks vs Environmental Scientists?

AspectScientists In ParksEnvironmental Scientists
CredentialsBachelor's or higher in ecology, biology, or related fieldsBachelor's or higher in environmental science, ecology, or related fields
Work EnvironmentNational or state parks, outdoor settings, fieldworkResearch labs, government agencies, fieldwork in various environments
Employer & IndustryPark services, conservation agenciesEnvironmental consulting firms, government agencies, research institutions
Search & Comparison IntentYesYes

Scientists In Parks and Environmental Scientists both focus on studying ecosystems and conservation. However, Scientists In Parks typically work directly within park environments, emphasizing fieldwork and conservation efforts in outdoor settings. Environmental Scientists often work in labs or offices, conducting research that supports environmental policies and solutions across various industries. Both roles require similar educational backgrounds and are vital for environmental protection, but their work settings and specific focus areas differ.

What are popular job titles related to Scientists In Parks jobs in Miami, FL?

For Scientists In Parks jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Scientists In Parks jobs in Miami, FL look for?

The top searched job categories for Scientists In Parks jobs in Miami, FL are:

What cities near Miami, FL are hiring for Scientists In Parks jobs?

Cities near Miami, FL with the most Scientists In Parks job openings:

Scientists In Parks jobs near you
Infographic showing various Scientists In Parks job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $86,999 per year, or $41.8 per hour.

Director, Data Science

SeaWorld Parks & Entertainment

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 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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