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Environmental Data Science Intern Jobs in Seattle, WA

Microsoft

Senior Data & Applied Scientist

Redmond, WA · On-site

... data science, machine learning, and artificial intelligence to transform how these professionals capture knowledge, manage work, and respond to a rapidly changing regulatory environment. In this role ...

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

This role contributes to the foundational science and analytics capabilities used by Product ... environment. BASIC QUALIFICATIONS - 3+ years of data querying languages (e.g. SQL), scripting ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Master's in Data Science, Mathematics/Statistics, Computer Science, or related field preferred ... Ability to succeed in a multi‑functional business environment and influence adoption of new ideas.

PeopleConnect

Audience Data Scientist

Bellevue, WA · On-site

$122K - $153K/yr

Responsibilities Identify audience opportunities through data science * Translate business goals (e ... environments * Strong experience using Python for analysis, automation, or modeling * Experience ...

PeopleConnect

Audience Data Scientist

Bellevue, WA · On-site

$122K - $153K/yr

Responsibilities Identify audience opportunities through data science * Translate business goals (e ... environments * Strong experience using Python for analysis, automation, or modeling * Experience ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Seattle, WA

Environmental Data Science Intern information

See Seattle, WA salary details

$13

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$47

How much do environmental data science intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for environmental data science intern in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an environmental data science intern, and why are they important?

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

What is the difference between Environmental Data Science Intern vs Environmental Data Analyst?

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What are the most commonly searched types of Environmental Data Science jobs in Seattle, WA?

The most popular types of Environmental Data Science jobs in Seattle, WA are:

What are popular job titles related to Environmental Data Science Intern jobs in Seattle, WA?

For Environmental Data Science Intern jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science Intern jobs in Seattle, WA look for?

The top searched job categories for Environmental Data Science Intern jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Environmental Data Science Intern jobs?

Cities near Seattle, WA with the most Environmental Data Science Intern job openings:

Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Science Support - Management Decision Tools

Think Tank, Inc.

Seattle, WA • On-site

Contractor

Re-posted 26 days ago

Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Collect fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region; field collection involves harsh outdoor conditions in/around water and may involve driving vehicles and/or boats and trailers and occasional (days-to-weeks) ship-survey assistance.
  • Implement occasional laboratory experiments and data processing; perform data visualization and analysis.
  • Conduct literature reviews to extract data and published relationships between ecological outcomes and potential stressors or habitat metrics.
  • In collaboration with team members, produce tools that improve transparency and efficiency of management decision-making and permitting, integrating environmental stressors into the NW Salmon Life Cycle Model (LCM) framework.
  • Share comprehensive workflow protocols and research products so others can interact with and understand the work.
  • Write reports, contribute to journal manuscripts, and present results at regional meetings and scientific conferences, as needed.

EDUCATION & EXPERIENCE:

Required:

  • Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order, with emphasis in fisheries, ecology, natural sciences, mathematics, statistics, oceanography, or hydrology.
  • Experience: Three (3) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.

Desired:

  • Advanced degree (MS or PhD) in a related field - may be substituted for four (4) years of experience.

CERTIFICATIONS:

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • Reliable participation and contributions in field and/or laboratory activities coordinated by the NWFSC.
  • Documentation that samples/data were collected, stored, and processed using established protocols.
  • Reproducible workflows documented; analysis products stored in an accessible, organized way.
  • Written status reports and other ad hoc communications as needed.

SKILLS:

Required:

  • Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, GitHub, etc.
  • Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
  • Familiarity with common workplace software such as Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.

Apply