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Environmental Data Science Jobs in Delaware (NOW HIRING)

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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 Jul 25, 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 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 data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

Can data scientists make $300k?

Environmental data scientists can potentially earn $300,000 or more at senior levels or in specialized roles, especially with extensive experience, advanced skills in machine learning, and working in high-demand industries or organizations. However, such salaries are typically achieved through seniority, leadership positions, or in regions with higher compensation standards.

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.

Is 40 too late for data science?

Environmental Data Science is a field that values skills and experience over age, and many professionals transition into data science later in their careers. Gaining relevant knowledge in programming, statistics, and environmental data tools can enable a successful entry regardless of age, as continuous learning and practical experience are key factors in the field.

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 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.

What is the highest paying environmental science job?

Environmental Data Science roles such as senior environmental data scientists or environmental analytics managers tend to have the highest salaries in the field, often exceeding $100,000 annually. These positions typically require advanced skills in data analysis, programming, and environmental modeling, and may involve leadership responsibilities or specialized expertise in areas like climate modeling or sustainability analytics.

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 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 July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,844 per year, or $59.1 per hour.
WLS - Data & Reporting Business Manager - Vice President

WLS - Data & Reporting Business Manager - Vice President

JP Morgan Chase

Newark, DE

Full-time

Medical, Retirement

Posted 14 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

61st of 150 rated banks

Job description


Join a team where your insights directly shape business performance and decision-making. You will partner with senior leaders to define the analytics agenda and deliver actionable insights. In this role, you will improve data quality, drive efficiency, and support risk management using advanced analytics and emerging technologies.


As a Vice President, Data Science and Analytics, in Wholesale Lending Services, you serve as a senior analytics liaison and strategic partner to leadership. You own delivery of trusted metrics, data quality, and insight generation across the portfolio. You work closely with partners in finance, business management, and data teams to ensure data is accurate and translated into decision-ready insights. Your work supports lending performance, risk management, and operational efficiency while promoting responsible use of advanced analytics and artificial intelligence tools.

Job Responsibilities

  • Serve as a senior analytics advisor to business and finance leadership, shaping the insights agenda and ensuring high-quality deliverables
  • Own partnerships between data management and business stakeholders, aligning priorities and accelerating resolution of data issues
  • Lead proactive data health programs, including control checks, root-cause analysis, and remediation planning
  • Define, standardize, and govern portfolio metrics to ensure consistency, control, and audit readiness
  • Translate performance, risk, and operational data into clear, decision-ready insights with recommended actions
  • Lead analytical work end-to-end, from problem definition through execution and implementation
  • Develop executive-level materials that clearly communicate analytical findings, data quality, and risk implications
  • Drive automation and self-service capabilities to improve efficiency, control, and adoption
  • Apply advanced analytics to business use cases, partnering with technical teams to develop scalable solutions
  • Establish responsible use of artificial intelligence tools, including validation, explainability, and governance practices
  • Evaluate analytical outputs to ensure accuracy, clarity, and readiness for senior stakeholders

Required Qualifications, Capabilities, and Skills

  • 7 years of experience in data science, analytics, or data-driven strategy in a complex or regulated environment
  • Proven ability to drive analytics and data integrity outcomes across cross-functional teams
  • Strong data analysis skills, including metric design, statistical analysis, and data quality assessment
  • Experience defining and governing business-critical metrics with appropriate controls and documentation
  • Hands-on experience leading data quality initiatives and remediation efforts
  • Strong business acumen with the ability to connect analytics to performance, risk, and operational decisions
  • Executive communication skills with the ability to deliver clear, concise insights and recommendations
  • Strong analytical judgment with a focus on accuracy and quality of outputs
  • Experience applying artificial intelligence tools with appropriate validation and oversight
  • Proficiency in data visualization and presentation tools

Preferred Qualifications, Capabilities, and Skills

  • Experience with programming languages such as Python or SQL to develop analytics solutions
  • Familiarity with responsible artificial intelligence principles in a controlled environment
  • Knowledge of data governance frameworks, including metric governance and data lineage
  • Experience in financial services, lending, or portfolio and risk-related environments
  • Experience working in finance or business management functions
  • Experience acting as a liaison between technical data teams and business stakeholders

**To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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