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Environmental Data Scientist Jobs in Raleigh, NC

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... We're a leader in open source because of our open and inclusive environment. We hire creative ...

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and ...

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... You thrive in fast-moving, ambiguous environments. You know when a problem needs a thorough ...

New

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... You thrive in fast-moving, ambiguous environments. You know when a problem needs a thorough ...

New

Build scalable ML services and APIs for production deployment in distributed environments ... Required Expertise 6-12+ years in Data Science / ML Engineering, with deep experience in ...

Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it ... What You'll Do Epic Games is looking for a Senior Data Scientist to support the meta-progression ...

Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it ... The Senior Data Scientist will work in a cross-functional team environment under the direction of ...

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... Ability to perform in both team and individual environments * Equivalent combination of related ...

Data Scientist (Emerging Careers) - Hybrid, Cary, North Carolina We're a leader in data and AI ... Ability to perform in both team and individual environments * Equivalent combination of related ...

New

Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing ... DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract ...

Scientist, Data Review About Site Catalent's Morrisville facility, located in the heart of North ... Minimum 5+ years of experience in a pharmaceutical Quality Control (QC) laboratory environment

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... Practical experience designing explainable models suitable for regulated environments, including ...

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Environmental Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do environmental data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for environmental data scientist in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Environmental Data Scientists can enter the field at any age, as skills in programming, statistics, and domain knowledge are more important than age. Many professionals transition into data science later in their careers by gaining relevant certifications or training. Age should not be a barrier if you develop the necessary technical skills and experience.

What are the key skills and qualifications needed to thrive in the Environmental Data Scientist position, and why are they important?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

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 in research or consulting environments.

Is there a high demand for environmental scientists?

Environmental Data Scientists are in high demand due to increasing focus on sustainability, climate change, and environmental regulations. The field offers growth opportunities in government agencies, research institutions, and private companies, often requiring skills in data analysis, GIS, and environmental modeling.

Can data scientists make $300k?

Environmental Data Scientists can potentially earn $300,000 or more, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries or senior roles. However, such salaries are typically achieved through senior positions, specialized expertise, or in competitive markets, and are not common for entry-level roles.

What does a typical workday look like for an Environmental Data Scientist?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What is an Environmental Data Scientist job?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What are the most commonly searched types of Environmental Data Scientist jobs in Raleigh, NC? The most popular types of Environmental Data Scientist jobs in Raleigh, NC are:
What job categories do people searching Environmental Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Environmental Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Environmental Data Scientist jobs? Cities near Raleigh, NC with the most Environmental Data Scientist job openings:
Infographic showing various Environmental Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.

Principal Data Scientist

Redhat

Raleigh, NC • On-site, Remote

$147K - $243K/yr

Full-time

Posted 17 days ago


Job description

*Telecommuting role to be performed anywhere in the U.S.

Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset.

What You Will Do:

  • Participate in end-to-end development, from requirements gathering to validation and implementation.
  • Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery.
  • Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance.
  • Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.

What You Will Bring:

  • Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role.
  • Must have three (3) years of experience with: developing production-grade data science models; statistics and machine learning models and algorithms; producing well-documented, well-formatted code using object-oriented design principles, including Python; feature engineering using statistical techniques; data querying and transformation, including SQL; and working with engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments.

#LI-DNI

The salary range for this position is $147,470 - $243,350/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.