Environmental Data Scientist

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🔥 1 minute ago

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $75k - $105k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Lynker

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

💼 Consulting

🔬 Science

Consulting • Science • Engineering

Lynker is a premier science, engineering, and technology company that specializes in providing innovative solutions in weather and climate science, marine/ocean science and engineering, and space weather and space climate. The company partners with governments, communities, and industries to deliver impactful services that address global environmental security and economic prosperity. By leveraging a team of skilled scientists, engineers, and educators, Lynker tackles some of the nation’s most important missions and challenges, while also focusing on training, communications, and outreach for effective environmental policy and compliance.

📋 Description

• 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.

🎯 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.

🏖️ 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