1

Ecosystem Science Jobs in Florida (NOW HIRING)

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

$63K - $85K/yr

Stay informed on emerging science, policy developments, and management issues affecting Lake Okeechobee and the Greater Everglades ecosystem. * Maintain and foster culture of safety. * Other job ...

The MSL will provide scientific exchange, contribute insights to medical strategies, and drive patient-focused initiatives within the local health ecosystem. Who you will work with * Internal ...

The MSL will provide scientific exchange, contribute insights to medical strategies, and drive patient-focused initiatives within the local health ecosystem. Who you will work with * Internal ...

Showing results 21-40

Ecosystem Science information

See Florida salary details

$19.5K

$73.4K

$146.6K

How much do ecosystem science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ecosystem science in Florida is $73,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,829.00 and $96,786.00 per year, depending on experience, location, and employer.

What is ecosystem science?

Ecosystem science is the study of interactions among organisms and their environment as a system. It focuses on understanding how living (biotic) and non-living (abiotic) components of ecosystems, such as plants, animals, microbes, soil, water, and climate, interact to shape the structure and function of natural systems. Ecosystem scientists investigate processes like nutrient cycling, energy flow, and ecosystem services, often to inform conservation, land management, and policy. This field is interdisciplinary, combining biology, ecology, geography, and environmental science to address complex environmental challenges.

What job studies ecosystems?

Ecosystem scientists or ecologists study ecosystems by analyzing interactions among organisms and their environment. They often conduct fieldwork, collect data, and use tools like GIS and statistical software to understand ecological processes, typically requiring a background in biology, environmental science, or related fields.

How much do ecosystem scientists make?

Ecosystem scientists typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Salaries can increase with advanced degrees, specialized skills, and work in government agencies, research institutions, or environmental consulting firms.

What are some typical collaborative projects or partners an ecosystem scientist might work with?

Ecosystem Scientists frequently collaborate with government agencies, conservation organizations, and academic researchers to address environmental challenges such as habitat restoration, biodiversity monitoring, or climate impact assessments. These projects often involve multidisciplinary teams, incorporating expertise from hydrology, wildlife biology, and data science. Building strong partnerships is essential, as these collaborations enable Ecosystem Scientists to gather comprehensive data, apply for joint funding, and implement effective management strategies across large landscapes.

What are the key skills and qualifications needed to thrive as an ecosystem scientist, and why are they important?

To thrive as an Ecosystem Scientist, you need a strong background in ecology, biology, environmental science, and data analysis, typically supported by a relevant degree such as a BSc or MSc in environmental or biological sciences. Competence with GIS software, statistical analysis tools, and field sampling equipment is commonly required, along with certifications in environmental monitoring or research methods. Critical thinking, collaboration, and effective communication are essential soft skills for synthesizing data and working with multidisciplinary teams. These skills and qualifications are crucial for accurately assessing ecosystem health, informing conservation efforts, and guiding sustainable management decisions.

What is the difference between Ecosystem Science vs Environmental Science?

AspectEcosystem ScienceEnvironmental Science
Required CredentialsBachelor's or Master's in Ecology, Biology, or Environmental ScienceBachelor's or Master's in Environmental Science, Ecology, or related fields
Work EnvironmentField research, ecological monitoring, data analysisLaboratory, fieldwork, policy analysis
Employer & IndustryResearch institutions, conservation agencies, universitiesGovernment agencies, NGOs, consulting firms

Both Ecosystem Science and Environmental Science involve understanding ecological systems, but Ecosystem Science focuses specifically on the interactions within ecosystems, often emphasizing field research and ecological modeling. Environmental Science has a broader scope, including pollution, policy, and sustainability issues. Professionals in both fields often share similar credentials and work environments, but their focus areas differ, making them distinct yet related careers.

What are popular job titles related to Ecosystem Science jobs in Florida? For Ecosystem Science jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Ecosystem Science jobs? Cities in Florida with the most Ecosystem Science job openings:

Data Science Lead

SOSi

Doral, FL โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall oversee the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs.
  • The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.
  • The contractor shall submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration.
  • The contractor shall coordinate to access compute and storage resources required to support large-scale model training and analytics workloads, including GPU-accelerated environments, high-performance object storage, and parallel data processing capabilities.
  • The contractor shall fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related field, or;
    • Eleven (11) years of equivalent experience in leading AI/ML-driven analytics programs.
  • Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
  • Experience in mission-focused analytics, data-driven decision support, and integration of statistical and machine learning techniques is required.
  • Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.
  • Possess the knowledge and capability to lead the development of predictive and prescriptive analytics, ensuring alignment with mission objectives and the integration of AI/ML-driven insights.
  • Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
  • Experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams.
  • Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).

Additional Information
Work Environment
  • Normal office conditions

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.