Environmental Data Scientist

Lynker Corporation is hiring an Environmental Data Scientist in Boulder, CO (onsite) to build reproducible environmental and geospatial data products that support operational weather forecasts.

Responsibilities

• Organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, including clear provenance for repeatable combinations.
• Contribute to defining how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
• Specify analytical inputs and outputs (data, results, and metadata), define schemas for them, and define how those schemas evolve over time.
• Apply environmental and hydrologic domain knowledge to determine how data is weighted, interpreted, and encoded into rules.
• Develop checks, test cases, and validation logic to ensure rules produce correct, explainable, and consistent outcomes.
• Document data schemas, analytical logic, and data sources; collaborate across Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.

Requirements

• Master’s degree in environmental science or a related field (environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science), or a Bachelor’s plus 2 years applying data science to environmental problems, or equivalent hands-on experience.
• Strong environmental and data science background, including 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.
• Working knowledge of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
• Comfort with structural thinking about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
• Strong technical and scientific writing skills.

Technologies

• R, Python
• ArcGIS, QGIS
• Google Earth Engine
• GIS tooling
• USGS, NOAA, PRISM

Benefits

• Comprehensive healthcare for the employee at no monthly cost
• Healthcare 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)
• 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

Ideal Background

• 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 approaches for making 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.

Location: Boulder, CO (onsite)

Experience: 2+ years

Salary: USD 75,000 - 105,000 per year