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Remote Environmental Data Science Jobs (NOW HIRING)

Haley & Aldrich

Environmental Data Analyst

This is a full-time position located remote within the United States (option for remote/office ... Provide guidance in value-added ways for our scientists and engineers to leverage data to make ...

Haley & Aldrich, Inc

Environmental Data Analyst

This is a full-time position located remote within the United States (option for remote/office ... Provide guidance in value-added ways for our scientists and engineers to leverage data to make ...

Haley & Aldrich

Environmental Data Analyst

This is a full-time position located remote within the United States (option for remote/office ... Provide guidance in value-added ways for our scientists and engineers to leverage data to make ...

Encamp

Environmental Data Manager

$90K - $100K/yr

Bachelor's Degree in Environmental Science, Environmental Engineering, or related Science degree ... A flexible, remote-first culture with an allowance to support your remote work setup * A high-end ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

GSI Environmental Inc.

Environmental Scientist

Esperance, NY · On-site +1

$76K - $100K/yr

Interest in leveraging automated workflows and data science tools * Knowledge of statistical ... Flexible work environment with potential for remote (remote and local) work * On-the-job training ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

Experience working in a fully remote data science role within a government contracting environment ... Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

Experience working in a fully remote data science role within a government contracting environment ... Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

Koniag, Inc.

Data Scientist (Remote)

Nashville, TN · On-site +1

Experience working in a fully remote data science role within a government contracting environment ... Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

Experience working in a fully remote data science role within a government contracting environment ... Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

Overstory

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling

Weekday AI

Data Science Expert

$120 - $170/hr

... industry environment. * Strong background in business operations, product analytics, growth ... Fully remote with flexible working hours. * Project duration may be extended or concluded based on ...

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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Remote Environmental Data Science information

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

As of Sep 11, 2026, the average yearly pay for remote environmental data science 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.
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Remote Environmental Data Science jobs near you
Infographic showing various Remote Environmental Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Environmental Data Scientist

Boulder, CO • On-site, Remote

Lynker Corporation
Scientific Research and Development Services • 201 - 500 employees
Learn more about Lynker Corporationexternal

$75K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Overview
Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.
Responsibilities
Duties of the Environmental Data Scientist will include the following:
  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.

Qualifications
The Environmental Data Scientist selected should have the following:
  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:
  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

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