[Hiring] Environmental Data Scientist @Lynker Corporation

Role Description

As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.

• 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

• 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.

Requirements

• 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.

Benefits

• 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.