Environmental Data Scientist
Indexed description
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.
- 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.
- 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.
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
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