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Environmental Data Science Jobs in Delaware (NOW HIRING)

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

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

Typically, at least 8 years of experience in data science or equivalent work experience ... Ability to work independently and as part of a team in a fast-paced environment. * Strong executive ...

Data Analyst

Lewes, DE ยท 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 ...

Bachelor's degree in health informatics, Data Science, Statistics, Public Health or a related field. * Minimum of 2-3 of Data Analysis experience in a healthcare environment Language Skills:

Proven experience in assessing, mentoring, and developing junior data science talent * Advanced experience in use of open-source machine learning libraries (Python or R) in a cloud-based environment

Proven experience in assessing, mentoring, and developing junior data science talent * Advanced experience in use of open-source machine learning libraries (Python or R) in a cloud-based environment

Showing results 21-40

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:

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.

AI Governance Assurance - Data Science Practice

Barclays

Wilmington, DE โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.

Embark on a transformative journey as an AI Governance Assurance - Data Science Practice. At Barclays, our vision is clear โ€“to redefine the future of banking and help craft innovative solutions. This role provides an opportunity to gain exposure to AI, governance, risk, and controls while supporting a strategic and rapidly evolving area within the US Consumer Bank. You will work with a diverse group of stakeholders to help establish governance processes that enable innovation while maintaining appropriate oversight and accountability.

To be successful in this role, you should have experience with:

  • Understanding of the Artificial Intelligence (AI) lifecycle and governance requirements

  • Identifying and assessing risks, while ensuring compliance with applicable standards and policies

  • Executing governance assurance activities, including control reviews, evidence validation, issue identification, and remediation tracking across the AI lifecycle

  • Communicating governance requirements, risks, and recommendations clearly to both technical and non-technical stakeholders, including senior leadership

Some other highly valued skills may include:

  • Proโ€‘active, deliveryโ€‘focused approach with the ability to prioritize, and meet deadlines

  • Good influencing skills, including the ability to guide others without formal authority, supported by clear and effective writing capabilities

  • Effective communicator with interpersonal and influencing skills, able to engage and collaborate with diverse global stakeholders

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

This role is located in Wilmington, DE; Whippany, NJ; and Henderson, NV.

For Whippany, NJ only:

Minimum Salary: $ 80,000

Maximum Salary: $ 105,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.

For Henderson, NV only:

Minimum Salary: $ 80,000

Maximum Salary: $ 100,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Purpose of the role

To collect, clean, analyse, and visualise data to identify potential risks, assess compliance with regulations, and provide valuable insights to auditors. 

Accountabilities

  • Development and execution of data extraction strategies to gather relevant data from various sources, including internal systems, external databases, and third-party vendors.
  • Analysis of data to identify potential risks and control weaknesses.
  • Provision of data-driven insights and analysis to auditors throughout the audit process.
  • Supporting the development and testing of audit procedures based on data analysis results.
  • Implementation of data management processes to ensure data accessibility, security, and integrity.

Analyst Expectations

  • To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
  • Requires in-depth technical knowledge and experience in their assigned area of expertise
  • Thorough understanding of the underlying principles and concepts within the area of expertise
  • They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L โ€“ Listen and be authentic, E โ€“ Energise and inspire, A โ€“ Align across the enterprise, D โ€“ Develop others.
  • OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
  • Will have an impact on the work of related teams within the area.
  • Partner with other functions and business areas.
  • Takes responsibility for end results of a teamโ€™s operational processing and activities.
  • Escalate breaches of policies / procedure appropriately.
  • Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
  • Advise and influence decision making within own area of expertise.
  • Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
  • Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
  • Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Make evaluative judgements based on the analysis of factual information, paying attention to detail.
  • Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
  • Guide and persuade team members and communicate complex / sensitive information.
  • Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship โ€“ our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset โ€“ to Empower, Challenge and Drive โ€“ the operating manual for how we behave.