Lynker
Environmental Data Scientist
Boulder, CO, US
Sponsorship not specified$75k-$105kDetected 23 hours ago
PythonMachine LearningData ScienceStatisticsScientific WritingGISCollaboration
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odds of building a lasting career here
47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
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About the role
- Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate science.
- 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.
- Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
Responsibilities
- 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.
- Data product design:
- 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.
- Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
Requirements
- 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).
Compensation
- 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 competit
Benefits
- Exposure to machine learning or statistical modeling applied to environmental data.
Company info
- As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.
- Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
This listing is sourced directly from Lynker's careers page and normalized into a canonical job model.