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Environmental Data Science Jobs in Delaware (NOW HIRING)

Tech Impact

Data Scientist - Fellowship

Wilmington, DE · On-site

$40/hr

Ability to translate complex data science jargon into meaningful, actionable insights for technical ... A preference for experience working in cloud environments (preference for those with Azure ...

Best Egg

Lead Data Scientist II

Wilmington, DE

$120K - $140K/yr

... environments. Requirements * A master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, etc.); Ph.D. preferred. * 3+ years of ...

Best Egg

Lead Data Scientist II

Wilmington, DE

$120K - $140K/yr

... environments. Requirements * A master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, etc.); Ph.D. preferred. * 3+ years of ...

Actalent

Environmental Engineer

Newark, DE · On-site

Provide data evaluations and statistical analyses to support site-specific risk assessments and ... Knowledge of environmental science principles and their application to contamination, risk ...

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... Ability to work independently and collaborate effectively in a team environment. * Excellent ...

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Showing results 21-40

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Delaware

Environmental Data Science information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do environmental data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for environmental data science in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

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

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.

What is the difference between Environmental Data Science vs Environmental Data Analyst?

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

Is environmental data science a good major?

Environmental Data Science is a relevant major for careers involving analyzing environmental data, modeling ecological systems, and supporting sustainability efforts. It typically combines skills in data analysis, programming, and environmental science, preparing graduates for roles in research, consulting, or government agencies.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret large datasets related to climate, pollution, and natural resources.

What are the most commonly searched types of Environmental Data Science jobs in Delaware?

The most popular types of Environmental Data Science jobs in Delaware are:

What are popular job titles related to Environmental Data Science jobs in Delaware?

For Environmental Data Science jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science jobs in Delaware look for?

The top searched job categories for Environmental Data Science jobs in Delaware are:

Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Delaware as of August 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

Data Scientist - Fellowship

Tech Impact

Wilmington, DE • On-site

$40/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Analyze data for trends and patterns through exploratory and hypothesis-driven approaches.

  • Organize and communicate findings to clients and stakeholders.

  • Select and apply analytical techniques and modeling methods to support social good problem sets.

Job description


Data Innovation Lab
Data Scientist 
  • Join an innovative, like-minded team that focuses on your personal growth and accelerating your career!
  • Use your skills and experience for social good.
  • This is an hourly contract position.
  • 20 hours per week.
  • $40/Hour
  • Fellowship program runs from July 2026 to December 2026.
About Us
Tech Impact's Data Innovation Lab (Tech Impact) exists to engage local and global organizations in an ongoing conversation around the use of advanced data analytics and artificial intelligence to fast-forward research ideas out of the lab and into the marketplace.
Our mission is to develop novel data and analytics approaches that can disrupt the status quo and fundamentally alter a current issue or problem. Using best practices, diverse industry experience, access to technical and scientific talent, and core technologies, the lab will solve community-based issues while attracting national talent to the region and providing work for the technical and innovative talent of Delaware.
For more information, visit our website.
About the Opportunity
Tech Impact is looking for Data Scientists to join our Fellowship Program in Delaware. The Fellowship Program will run from July 2026 to December 2026 and is a hybrid role. Along with our Lead Data Scientist, our Data Scientists serve as our primary delivery resource for consulting, study-design, analytics/ML and statistical inferencing.
The Fellowship is intended for technologists with a deep technical skill set and a strong desire to serve their communities. As a Data Scientist, you will work with our partners to design, develop, and deploy production-grade solutions to social good problems. You will be expected to collaborate across projects to generate hypotheses, develop models, and create products. Your work will directly lead to improving the lives of people in communities in Delaware and beyond. 
Responsibilities include, but are not limited to:
  • Analyze data for trends and patterns through both exploratory and hypothesis-driven approaches. 
  • Organize and communicate findings to clients and stakeholders. 
  • Select and apply analytical techniques and modeling methods aimed at supporting problem sets focused on data used for social good.
  • Propose tangible machine learning solutions, helping to build products that advance the Lab’s goals.
  • Serve as an authority in machine learning data education/application amongst clients/stakeholders.
  • Tactically develop production-grade models while thinking strategically about public impact/relevance  
  • Contribute to innovative projects, specifically to idea generation, idea incubation, and/or experimentation.
  • Serve as a liaison between government, corporate, community, and non-profit teams to drive the application of machine learning solutions into real-world applications.
  • When relevant, support authorship of academic papers, presentations, white papers, and other publications by conducting analyses and producing visualizations. 

More About You 
Our preferred candidate has a Master's Degree or above in statistics, mathematics, computer science, psychology, public health, or another related quantitative field. However, undergraduates or individuals who have relevant training will also be considered.
In addition, we require strong skills, experience, and knowledge in the following:
  • Commitment to leveraging data for social good. 
  • Hands-on coding experience in Python / R / Julia or any other open-source programming language 
  • Relevant delivery of complex analytical projects
  • Working with version control platforms, especially Git / GitHub 
  • Ability to work closely with other Data Lab members to perform ETL using SQL.
  • A self-motivated thinker that works well independently and on collaborative teams.  
  • Ability to translate complex data science jargon into meaningful, actionable insights for technical and non-technical stakeholders. 
  • Excellent organizational skills, with the ability to organize and prioritize work efficiently and effectively. 
  • A preference for experience working in cloud environments (preference for those with Azure experience) 
  • A preference for experience handling confidential data and information with integrity in a shared cloud environment.
  • An eagerness to stay up to date on new technologies and methodologies to level up your skillset. 

Employment Policy
As an Equal Opportunity Employer, Tech Impact embraces diversity and does not discriminate in employment based on age, race, color, creed, sex, gender, identity, religion, marital status, veteran’s status, national origin, disability, or sexual orientation. 
  • ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. 
  • Requires the ability to speak, hear, see and use a computer and other office-related equipment. 
  • Also requires the ability to sit for extended periods of time, stand, stoop, crawl and lift to 50 lbs. 
  • May require local and regional travel. 
 
 

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