2

Remote Environmental Data Scientist Jobs in Raleigh, NC

Principal Data Scientist

Raleigh, NC ยท On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... across work environments, from in-office, to office-flex, to fully remote, depending on the ...

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... are environment. Responsibilities * Lead the strategy, development, enhancement, and support of ...

Senior AI Scientist

Durham, NC ยท On-site +1

$108K - $270K/yr

USA (Remote) ๐Ÿข Department: R&DS (Research & Development Solutions) ๐Ÿ“„ Employment Type ... Drive data engineering and curation processes to transform structured and unstructured data into ...

Senior AI Scientist

Durham, NC ยท On-site +1

$108K - $270K/yr

USA (Remote) ๐Ÿข Department: R&DS (Research & Development Solutions) ๐Ÿ“„ Employment Type ... Drive data engineering and curation processes to transform structured and unstructured data into ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Oversee the deployment of machine learning models into production environments, ensuring ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Oversee the deployment of machine learning models into production environments, ensuring ...

Senior Data Team Lead (Remote)

Raleigh, NC ยท Remote

$86K - $217K/yr

... environment for your experience and interests! IQVIA is seeking experienced Senior Data Team Leads ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

next page

Showing results 1-20

Remote Environmental Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do remote environmental data scientist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote environmental data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a Remote Environmental Data Scientist?

A Remote Environmental Data Scientist is a professional who analyzes and interprets environmental data, such as climate metrics, pollution levels, or ecosystem health, while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to draw insights and support environmental projects or policy decisions. This role often involves collaborating with teams virtually, accessing remote databases, and communicating findings to stakeholders. Remote Environmental Data Scientists play a crucial role in addressing environmental challenges by providing actionable data-driven insights.

How does a Remote Environmental Data Scientist typically collaborate with cross-functional teams while working offsite?

Remote Environmental Data Scientists often work closely with diverse teams, such as field researchers, software developers, and policy analysts, using digital collaboration tools like Slack, Zoom, and cloud-based data platforms. Effective communication and regular virtual meetings are essential for aligning on project goals, sharing data findings, and integrating insights into actionable recommendations. While remote work provides flexibility, it also requires strong self-management and proactive outreach to ensure seamless collaboration and data integrity across geographically dispersed teams.

What are the key skills and qualifications needed to thrive as a Remote Environmental Data Scientist, and why are they important?

To thrive as a Remote Environmental Data Scientist, you need a strong background in statistics, environmental science, and data analysis, usually supported by a degree in a relevant field. Proficiency in programming languages like Python or R, GIS software, and experience with remote sensing data are typically required, along with certifications in data science or environmental analysis. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable environmental solutions. These abilities are essential for accurately analyzing complex environmental data, informing policy, and driving sustainable initiatives from a remote setting.

What is the difference between Remote Environmental Data Scientist vs Remote Environmental Analyst?

AspectRemote Environmental Data ScientistRemote Environmental Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in data analysis toolsBachelor's in Environmental Science, Geography, or related fields; basic data analysis skills
Work EnvironmentPrimarily remote, involving data modeling, analysis, and programmingPrimarily remote, focusing on data collection, reporting, and environmental assessments
Employer & Industry UsageUsed by environmental consulting firms, research institutions, and government agencies for data-driven decision makingEmployed by environmental agencies, NGOs, and consulting firms for environmental monitoring and reporting

The main difference is that Remote Environmental Data Scientists focus on advanced data analysis, modeling, and programming to interpret environmental data, while Remote Environmental Analysts concentrate on collecting data, preparing reports, and supporting environmental assessments. Both roles are essential in environmental sectors but differ in technical complexity and daily tasks.

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 are popular job titles related to Remote Environmental Data Scientist jobs in Raleigh, NC? For Remote Environmental Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Remote Environmental Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Environmental Data Scientist jobs? Cities near Raleigh, NC with the most Remote Environmental Data Scientist job openings:
Infographic showing various Remote Environmental Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 79% Full Time, 11% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Principal Data Scientist

Redhat

Raleigh, NC โ€ข On-site, Remote

$147K - $243K/yr

Full-time

Posted 8 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.