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Remote Ecological Engineering Jobs in Miami, FL (NOW HIRING)

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

Proficiency in programming languages such as Python or R * Experience working with large datasets ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

Proficiency in programming languages such as Python or R * Experience working with large datasets ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Data Scientist

Miami, FL · Remote

  • Medical

  • Dental

  • PTO

Proficiency in programming languages such as Python or R * Experience working with large datasets ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Remote Ecological Engineering information

See Miami, FL salary details

$38.7K

$94.5K

$149.7K

How much do remote ecological engineering jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote ecological engineering in Miami, FL is $94,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $110,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote ecological engineer, and why are they important?

To thrive as a Remote Ecological Engineer, you need a solid background in environmental science, ecological modeling, and engineering principles, typically supported by a relevant degree such as environmental or ecological engineering. Expertise in GIS software, remote sensing tools, and data analysis platforms is commonly required, along with certifications like Professional Engineer (PE) or GIS Professional (GISP) being advantageous. Strong project management, problem-solving, and communication skills help you collaborate effectively with diverse teams and stakeholders across distances. These skills ensure the accurate design and implementation of sustainable ecological solutions, even when working remotely, leading to successful project outcomes and environmental stewardship.

What is the difference between Remote Ecological Engineering vs Remote Environmental Technician?

AspectRemote Ecological EngineeringRemote Environmental Technician
Required CredentialsBachelor's or higher in ecology, environmental engineering, or related fields; certifications like LEED or GIS often preferredAssociate's or bachelor's in environmental science or related fields; certifications like OSHA or EPA may be required
Work EnvironmentPrimarily office-based with remote field data analysis and project planningRemote data collection, reporting, and site assessments, often with some fieldwork
Employer & Industry UsageEnvironmental consulting firms, government agencies, NGOsEnvironmental consulting firms, government agencies, research organizations

Remote Ecological Engineers focus on designing and implementing ecological solutions, often requiring advanced degrees and specialized certifications. Remote Environmental Technicians support data collection and site assessments, typically with less formal education. Both roles operate in similar industries but differ in responsibilities and credential requirements.

What are some common challenges faced by remote ecological engineers, and how can they be addressed?

Remote ecological engineers often face challenges such as limited access to on-site data, coordinating with multidisciplinary teams across different time zones, and ensuring the accuracy of remote monitoring technologies. To address these, professionals frequently use advanced GIS tools, real-time data platforms, and cloud-based collaboration software. Regular virtual meetings and clear communication protocols also help maintain project alignment and ensure timely progress despite the remote nature of the work.

What is remote ecological engineering?

Remote ecological engineering is a field that combines principles of ecology and engineering to design, monitor, and manage sustainable solutions for environmental challenges, often using remote technologies. Professionals in this field may work on projects like habitat restoration, ecosystem monitoring, and resource management, all while utilizing remote sensing, GIS, and other digital tools. This allows them to assess and address ecological issues from a distance, making it possible to work on projects across various locations without being physically present. The role is increasingly important as technology enables more efficient and widespread environmental monitoring and intervention.

What are popular job titles related to Remote Ecological Engineering jobs in Miami, FL?

For Remote Ecological Engineering jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Ecological Engineering jobs in Miami, FL look for?

The top searched job categories for Remote Ecological Engineering jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Ecological Engineering jobs?

Cities near Miami, FL with the most Remote Ecological Engineering job openings:

Full-time

Medical, Dental, PTO

Re-posted 4 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs. This position is contingent upon contract award and available funding.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer