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Manager Environmental Data Scientist Jobs (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Responsibilities Duties of the Environmental Data Scientist will include the following: * Data ... Free centralized, self-directed Learning Management System to learn at your own pace * Personalized ...

New

The successful candidate will manage, analyze, and deliver environmental data for all types of ... Provide guidance in value-added ways for our scientists and engineers to leverage data to make ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... environments, data analysis algorithms, data management approaches, relational databases, or ...

Organize and manage multiple assignments while maintaining a high level of accuracy and attention ... Degrees with a strong emphasis in mathematics, statistics, physical sciences, environmental science ...

... environment, with a focus on rapid iteration and business impact. The Data Science Lead will drive ... who will collaborate to build models, manage data pipelines, and ensure scalable data ...

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May conduct and/or support data engineering and data management. May assist with the selection of ...

... National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for ... Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal ...

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Manager Environmental Data Scientist information

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$37.5K

$122.7K

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

As of Aug 2, 2026, the average yearly pay for manager 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 is the highest paid job in data science?

In data science, the highest paid roles are often senior positions such as Lead Data Scientist, Machine Learning Engineer, or Data Science Director, with salaries reaching into the high six or seven figures for those with extensive experience, advanced skills, and industry expertise. These roles typically require strong programming, statistical, and domain knowledge, along with leadership responsibilities.

What is the difference between Manager Environmental Data Scientist vs Environmental Data Scientist?

AspectManager Environmental Data ScientistEnvironmental Data Scientist
CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; often requires leadership experienceBachelor's or Master's in Environmental Science, Data Science, or related fields; technical expertise in data analysis
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, develops models, supports environmental research
Employer & Industry UsageUsed in organizations with environmental departments, government agencies, consulting firmsCommon in research institutions, environmental agencies, private sector companies

The main difference is that the Manager Environmental Data Scientist oversees teams and projects, focusing on leadership and strategic planning, while the Environmental Data Scientist primarily conducts data analysis and modeling to support environmental initiatives.

What is the highest paying job in environmental science?

In environmental science, the highest paying roles are often senior positions such as Environmental Director or Chief Sustainability Officer, which can earn six-figure salaries. These roles typically require extensive experience, advanced degrees, and strong leadership skills, often overseeing large teams or strategic initiatives.

How to become a data scientist manager?

To become a data scientist manager, professionals typically need several years of experience in data analysis, modeling, and programming, along with strong leadership and project management skills. Earning advanced degrees such as a master's or Ph.D. in data science, statistics, or related fields, and gaining proficiency in tools like Python, R, and SQL, are also important. Certifications in data management or analytics can further enhance qualifications for managerial roles.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, trends, and insights related to ecosystems, pollution, climate change, and natural resources. They use statistical tools, programming languages like Python or R, and GIS software to manage and interpret large datasets, supporting environmental decision-making and policy development.
What cities are hiring for Manager Environmental Data Scientist jobs? Cities with the most Manager 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 Manager Environmental Data Scientist jobs? States with the most job openings for Manager Environmental Data Scientist jobs include:

Environmental Data Scientist

Lynker Corporation

Boulder, CO • On-site

$75K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

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.


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.

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.