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