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Environmental Data Science Jobs in Delaware (NOW HIRING)

Understand the data environment to appropriately prioritize and set expectations for key reporting ... Science) * 4+ years of model development experience in a large institution preferred; PHD degrees ...

Understand the data environment to appropriately prioritize and set expectations for key reporting ... Science) * 4+ years of model development experience in a large institution preferred; PHD degrees ...

... Science, Artificial Intelligence, Applied Analytics, Data Engineering or a related discipline. * Experience working with biotechnology, biochemistry, scientific research or laboratory environments.

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 ...

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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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 Aug 12, 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.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

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.

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 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 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:
Infographic showing various Environmental Data Science job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

Manager, Data Science

OneMain Financial

Wilmington, DE • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


OneMain Financial rating

7.4

Company rating: 7.4 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

117th of 150 rated financial services


Job description

Manager, Data Science

Location: Wilmington, DE (Hybrid)

We are seeking a Manager to join our Data Science team in Wilmington, DE. This is an exciting opportunity to develop and manage an integrative set of models across a diverse portfolio.These models include but are not limited to risk models, direct mail response models, portfolio risk models, line management models, collection models, and others.

Working with various partners, the role will also have responsibilities for model monitoring, customer segmentation, competitive analysis, and input into strategy. A successful candidate will expand competencies and grow business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will also gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry.

The Role

  • Research and develop new modeling techniques that will keep OneMain at the forefront of the industry
  • Work with non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, social media and digital data to improve model performance
  • Lead innovative solutions to gain more value from credit bureau tradeline data
  • Develop creative technical solutions to improve the company's decision making, the customer's experience, and shareholder return
  • Lead a team to conduct statistical analysis and develop profit-driven decision framework and risk strategies within risk appetite with full credit cycle view to drive healthy growth
  • Partner with other leaders to define business priorities, align talent and resources and communicate progress to executive management
  • Understand the data environment to appropriately prioritize and set expectations for key reporting, modeling, and analytical priorities
  • Leverage traditional regression models and machine learning algorithms to understand the key drivers and estimate customer behaviors
  • Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations

Qualifications

  • Master's Degree in a quantitative discipline (Engineering, Statistics, Economics, Business Management or Computer Science)
  • 4+ years of model development experience in a large institution preferred; PHD degrees may offset experience.
  • Knowledge of modeling techniques and methods such as decision trees, neural networks, XGBoost, and complex regressions preferred
  • Superior communication skills with the comfort to interface with all levels of management
  • Proven experience working with teams of diverse individuals focused on several disparate projects simultaneously
  • Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow, Pyspark)
  • Innovative and capable of developing creative solutions to complex, data-driven problems

Who We Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances

  • Up to 4% matching 401(k)

  • Employee Stock Purchase Plan (10% share discount)

  • Tuition reimbursement

  • Paid time off (15 days' vacation per year, plus 2 personal days, prorated based on start date)

  • Paid sick leave as determined by state or local ordinance, prorated based on start date

  • Paid holidays (7 days per year, based on start date)

  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.


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