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Scientists In Parks Jobs in Florida (NOW HIRING)

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Scientists In Parks information

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$27.6K

$62.6K

$97K

How much do scientists in parks jobs pay per year?

As of Sep 9, 2026, the average yearly pay for scientists in parks in Florida is $62,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $71,800.00 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 Florida?

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

What job categories do people searching Scientists In Parks jobs in Florida look for?

The top searched job categories for Scientists In Parks jobs in Florida are:

What cities in Florida are hiring for Scientists In Parks jobs?

Cities in Florida with the most Scientists In Parks job openings:

Scientists In Parks jobs near you
Infographic showing various Scientists In Parks job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 2% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $62,611 per year, or $30.1 per hour.

Applied Data Scientist

Orlando, FL • On-site, Remote

Professional Staffing Services
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Professional Staffing Servicesexternal

Contractor

Re-posted 26 days ago

Job description

Applied Data Scientist - Contract to Hire

Location: Florida (Remote but will need to travel to Orlando for your first day, and for occasional meetings and trainings. )

***Also considering candidates in TX, GA, and NC. Must be willing to travel.

Employment Type: Full-Time, Pay: ~ 140K - 185K

Sponsorship: Not Available (Now or in the future)

About The Company

Our client drives innovative, datadriven insights and scalable AI solutions across the entertainment ecosystem. The Data Science team partners with data engineering, marketing, product, and executive teams to transform audience data into actionable strategies and operational products.

A successful Applied Data Scientist thrives on both analytical creativity and production rigor. As a key member of our client's team, you will own endtoend modeling and deployment work-from the conceptual framing of business problems to data ingestion, model development, and reliable production delivery. Your work will directly shape how our company delivers value to clients and internal stakeholders.

Position Summary & Location Requirements

This is a Florida-based role. While the day-to-day work offers remote flexibility, candidates must reside in the state of Florida or reside in GA, TX, and NC and meet the following travel requirements:

  • Day One: Ability to travel to Orlando, FL or the closest office local to your area for your first day/onboarding.
  • Ongoing: Ability to travel to Orlando or closest office local to your area on occasion for collaborative meetings, trainings, and to support business needs.

Key Responsibilities

In this role, you will bridge the gap between business strategy and technical execution. Specifically, you will:

  • Model & Solution Development: Translate ambiguous business questions into structured analytical and ML solutions. Develop, validate, and optimize models impacting forecasting, segmentation, personalization, recommendation, or operational efficiency.
  • Production & MLOps: Build productionready pipelines and deploy models into scalable environments using robust MLOps practices (CI/CD, automated testing, monitoring), ensuring long-term lifecycle maintenance.
  • Collaboration & Communication: Partner cross-functionally to bridge business requirements and technical design. Communicate insights and technical decisions clearly to both technical and nontechnical stakeholders.
  • Documentation & Standards: Document all models, pipelines, and deployment processes comprehensively to ensure maintainability, reproducibility, and knowledge sharing.
  • Innovation: Stay ahead of emerging tools, techniques, and frameworks in ML/AI to influence best practices across the organization.

Core Qualifications

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Professional Experience: 5+ years of industry experience (excluding internships) in data science and machine learning, including proven ownership of model productization, monitoring, and iterative improvement.
  • Core ML Experience: 3+ years of building machine learning models for business applications (outside of academia), with deep expertise in both supervised and unsupervised learning algorithms.
  • Technical Stack:
  • Python: Strong programming skills with hands-on experience building, training, deploying, and monitoring ML models.
  • SQL: 2+ years of experience with database querying, data preparation, and analysis.
  • Data Warehousing: Working knowledge of large-scale platforms (e.g., Snowflake, SQL Server, BigQuery, Redshift).
  • Cloud Platforms: Familiarity with cloud environments (AWS, Azure, or GCP) and designing end-to-end ML pipelines from ingestion to production serving.
  • Execution Skills: Outstanding analytical skills to diagnose and resolve complex system issues, with a proven ability to manage multiple projects and prioritize tasks effectively.

What Sets You Apart (Preferred Qualifications)

  • Advanced Degree: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Domain Expertise: Industry experience in entertainment or e-commerce, including domains such as theme parks, hospitality, live performances, ticketing, or retail marketplaces.
  • Advanced ML Architectures: Hands-on experience designing and deploying recommendation models (collaborative filtering, content-based, transformer-based) or working with data labeling, taxonomy design, and classification frameworks.
  • Generative AI: Familiarity with GenAI techniques, language modeling, or frameworks like AWS Bedrock and Hugging Face.
  • Deep MLOps Tooling: Advanced experience with tools like SageMaker, Lambda, Airflow, or MLflow, and the ability to guide architectural/strategic decisions for ML infrastructure.

Apply