Environmental Data Scientist

Lynker Corporation•Boulder, CO

2d•$75,000 - $105,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
Help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
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.
Bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
Develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
Document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.

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