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Environmental Data Scientist Jobs (NOW HIRING)

Main Line Health

Data Scientist

Radnor, PA · On-site

This role offers the opportunity to apply foundational data science skills in a real-world healthcare environment, where insights directly support patient care and enterprise performance. Working ...

neptune technologies

Data Scientist

Duluth, GA

Experience deploying models to production environments. • Preferred: Experience with IoT data or utility operations. Education Bachelor's or Master's degree in Data Science, Computer Science ...

Elder Research

Data Scientist

Arlington, VA · On-site

... environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data ...

Sphinx LLC

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

... modern threat environment. Sphinx provides services to an array of clients within the US ... Data Scientist Sphinx Data Scientists provide an array of data analytics, engineering, mining, and ...

Elder Research

Data Scientist

Arlington, VA · On-site

... environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data ...

ECS

Data Scientist

Springfield, VA · On-site

The work is performed in a multidisciplinary team environment in an agile project framework. The ... A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer ...

VTG

Data Scientist

Chantilly, VA

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

Neptune

Data Scientist

Duluth, GA · On-site

Experience deploying models to production environments. • Preferred: Experience with IoT data or utility operations. Education Bachelor's or Master's degree in Data Science, Computer Science ...

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Environmental Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do environmental data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for environmental data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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.

More about Environmental Data Scientist jobs
What cities are hiring for Environmental Data Scientist jobs? Cities with the most Environmental Data Scientist job openings:
What are the most commonly searched types of Environmental Data Scientist jobs? The most popular types of Environmental Data Scientist jobs are:
What states have the most Environmental Data Scientist jobs? States with the most job openings for Environmental Data Scientist jobs include:
What job categories do people searching Environmental Data Scientist jobs look for? The top searched job categories for Environmental Data Scientist jobs are:
Environmental Data Scientist jobs near you
Infographic showing various Environmental Data Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Prophecy Technologies

Elk Grove, CA • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision-making and user experience. This role offers an exciting opportunity to work on data-powered and AI-driven features, design robust data foundations, and embed language-model-based insights into platforms.
Key Responsibilities:
  • Drive the creation of data-powered and AI-driven features that enhance decision-making and user experience.
  • Design robust data foundations that support analytics, machine learning, and intelligent automation.
  • Embed language-model-based insights into platforms to summarize, classify, and surface key information.
  • Deliver high-impact dashboards and analytics tools tailored for leadership and operational teams.
  • Lead early-stage solution design, incorporating user feedback to refine functionality and usability.
  • Establish best practices for ML deployment, including versioning, automation, and performance monitoring.
  • Ensure AI systems align with product goals while maintaining reliability and interpretability.
  • Act as a cross-functional contributor connecting data science, engineering, and business strategy.

Required Technical Skills:
  • FastAPI, Django REST Framework, and Flask.
  • Pandas, NumPy, and frameworks such as Celery or PySpark.
  • Machine learning and AI-driven features.
  • Robust data foundations and data science.
  • Language-model-based insights and platform embedding.
  • High-impact dashboards and analytics tools.
  • Early-stage solution design and usability refinement.
  • ML deployment and performance monitoring.

Required Qualifications:
  • 6+ months of experience in data science and AI-driven features.
  • Proven expertise in machine learning, data science, and AI-driven features.
  • Relevant certification in data science and AI-driven features.
  • Bachelor's degree in Computer Science or related field.

Preferred Qualifications:
  • Nice-to-have skills in data science and AI-driven features.
  • Soft skills such as strong communication and collaboration skills.
  • Ability to work in fast-paced environment.

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