ZipRecruiter

Log In

2

Remote Environmental Science Jobs in Brandon, FL

langan

Environmental Systems Engineer

Tampa, FL · On-site +1

Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems ...

IQVIA

Senior Data Team Lead (Remote)

Tampa, FL · Remote

$86K - $217K/yr

... environment for your experience and interests! IQVIA is seeking experienced Senior Data Team Leads ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Booz Allen Hamilton, Inc.

Data Scientist

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245472 Location: Tampa,FL,US Share job via: Share Data Scientist The ... Experience working in an Agile development environment collaborating with Application Developers ...

IQVIA

Senior Data Team Lead (Remote)

Tampa, FL · Remote

$86K - $217K/yr

... environment for your experience and interests! IQVIA is seeking experienced Senior Data Team Leads ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

previous pagenext page

Showing results 21-40

All JobsEnvironmental Science JobsRemote Environmental Science JobsRemote Environmental Science Jobs in Brandon, FL

Remote Environmental Science information

See Brandon, FL salary details

$35.6K

$73.1K

$106.9K

How much do remote environmental science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote environmental science in Brandon, FL is $73,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $85,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Environmental Scientist, you need a solid background in environmental science, data analysis, and report writing, usually supported by a relevant degree. Familiarity with GIS software, remote sensing tools, and environmental modeling systems is typically required, along with certifications like GIS Professional (GISP) or LEED accreditation. Strong communication, problem-solving, and self-management skills are crucial for collaborating with remote teams and stakeholders. These competencies enable effective environmental assessments, data-driven decision-making, and successful project outcomes from a remote work environment.

What is a remote environmental science job?

A remote environmental science job is a position that allows professionals to work from locations outside of a traditional office or laboratory setting, often from home or while traveling. These roles typically involve tasks such as data analysis, report writing, remote sensing, consulting, and environmental monitoring using digital tools. Remote environmental scientists contribute to research, policy, and project management without needing to be physically present at field sites, although occasional site visits may be required. This flexibility allows for better work-life balance and can open opportunities to collaborate with global teams. Remote roles are increasingly common as technology enables more scientific work to be conducted virtually.

How do remote environmental science professionals typically collaborate with field teams and other stakeholders?

Remote environmental science professionals often rely on digital communication tools, such as video conferencing, cloud-based data sharing, and collaborative project management platforms, to stay connected with field teams and stakeholders. They may participate in regular virtual meetings to discuss project updates, analyze collected data, and coordinate research activities. Effective communication and strong organizational skills are essential to ensure alignment and successful project outcomes, even when team members are dispersed across different locations. Building strong professional relationships remotely and staying proactive in communication helps overcome challenges associated with working outside a traditional office or field setting.

What is the difference between Remote Environmental Science vs Remote Environmental Technician?

AspectRemote Environmental ScienceRemote Environmental Technician
Required CredentialsBachelor's or higher in environmental science or related field; certifications varyAssociate's or bachelor's in environmental technology or related field; certifications may include safety or technical training
Work EnvironmentPrimarily office-based or remote; fieldwork may be occasionalMostly remote with some field site visits or technical tasks
Employer & Industry UsageEnvironmental consulting firms, government agencies, research institutionsEnvironmental service companies, government agencies, industrial firms
Common Search & ComparisonRemote Environmental ScienceRemote Environmental Technician

Remote Environmental Science roles focus on research, data analysis, and environmental planning, often requiring higher education and offering more analytical responsibilities. In contrast, Remote Environmental Technicians handle technical tasks, site assessments, and field data collection, typically with technical certifications. Both roles are vital in environmental projects but differ in scope, credentials, and daily tasks.

What are the most commonly searched types of Environmental Science jobs in Brandon, FL? The most popular types of Environmental Science jobs in Brandon, FL are:
What are popular job titles related to Remote Environmental Science jobs in Brandon, FL? For Remote Environmental Science jobs in Brandon, FL, the most frequently searched job titles are:
What cities near Brandon, FL are hiring for Remote Environmental Science jobs? Cities near Brandon, FL with the most Remote Environmental Science job openings:
Remote Environmental Science jobs near you
Infographic showing various Remote Environmental Science job openings in Brandon, FL as of August 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 7% In-person, and 93% Remote job distribution, with an average salary of $73,097 per year, or $35.1 per hour.

Decision Science Analyst

Kobie Marketing

Saint Petersburg, FL • Remote

Full-time

Re-posted 26 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we’ll build together
 
We find actionable insights in our clients’ loyalty data that help drive enterprise value. We create real time dashboards to inform internal and external stakeholders. You'll bring your experience with a breadth of marketing techniques, an ease of working with customer data, and an understanding of advanced mathematics and statistical techniques. This position is a client-facing, hands-on role that is responsible for helping shape our clients’ strategic direction for their loyalty initiatives.
How you will make an impact
  • Play a key role as part of a team responsible for delivering data-driven, actionable customer insights that directly contribute to increased sales/profit through our clients’ customer loyalty programs, while collaborating closely with Strategy and Client Services teams to align on client objectives and deliver impactful results. 
  • Build and maintain audience lists to support the CRM team in executing targeted campaigns and achieving engagement goals.
  • Provide actionable recommendations that drive business objectives by drawing out key insights from in-depth, complex data sources based on a thorough understanding of client’s strategy, success criteria, and program objectives
  • Develop data visualizations and narratives that make data and analysis consumable by all levels and expertise of internal and external stakeholders
  • Collaborate with Data Engineering and Business Intelligence teams to design and develop new tools, models, and data sources to support our clients’ business objectives and overcome challenges
  • Proactively create learning agendas, test plans, and solutions that make attribution unassailable and maximize key KPIs such as incremental ROI and LTV
  • Manage workflow, scope and prioritization of client requests and Kobie investments
What you need to be succesful
  • 2-4+ years previous relevant customer analytics and/or marketing/CRM experience
  • Great storyteller with data that can influence senior stakeholders with insights and recommendations
  • Familiarity with data exploration and data visualization tools like Tableau, PowerBI , or Sigma
  • Demonstrated success using customer segmentation techniques such as RFM, cluster analysis and regression modeling to drive targeted marketing
  • Solid project management skills and experience in juggling multiple projects at a time
  • Bachelor’s Degree in Statistics, Marketing, Economics, or Computer Science
  • Python/SQL programming experience preferred
  • Master’s in Statistics, Economics or Applied Mathematics, or MBA, preferred
  • Proficiency in fundamental marketing and loyalty principles, preferred
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.