Sea Ice Model Evaluations and Applications Scientist

Lynker

Sea Ice Model Evaluation and Applications Scientist at Lynker, working with the U.S. National Ice Center.

Posted 7/30/2026full-timeRemote • Maryland • 🇺🇸 United StatesJuniorMid-Level💰 $78,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in numerical weather and ocean modeling, with proficiency in Python for scientific data analysis and experience in model testing and evaluation. Capable of effectively communicating technical findings to diverse stakeholders in atmospheric and oceanographic sciences.

Highest-signal resume keywords

Numerical Weather ModelingPython ProficiencyModel Testing and EvaluationGridded Environmental DatasetsUNIX or Linux Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Numerical Weather ModelingModel TestingForecast VerificationPython ProgrammingData AnalysisGridded Environmental DatasetsNetCDFGRIBUNIXLinux

Soft Skills

Technical Communication

Industry Keywords

Atmospheric ScienceOceanographyGeophysical SciencesSea Ice GuidanceOperational Readiness

Tech Stack

Tools & technologies

LinuxPythonUnix

About the role

Key responsibilities & impact

Evaluate guidance from systems such as the Global Forecast System (GFS), Global Ensemble Forecasting System (GEFS), Seasonal Forecast System (SFS), Real-Time Ocean Forecast System (RTOFS).
Improve the operational use of Arctic sea ice guidance for forecast Days 8–14 and exploratory application at other lead times.
Collaborate with USNIC forecasters, NWS OTC scientists, model developers, and external collaborators to assess model performance.
Assess how IMS products could better support model initialization and evaluation.
Demonstrate prototype extended-range sea ice guidance for the USNIC.
Provide recommendations regarding the scientific and operational readiness of evaluated guidance for potential transition to operations.

Requirements

What you’ll need

Knowledge of numerical weather, ocean, sea ice, or coupled Earth-system modeling.
Experience in model testing, evaluation, or forecast verification.
Proficiency in Python for scientific data analysis.
Experience working with gridded environmental datasets and formats such as NetCDF or GRIB.
Experience working in a UNIX or Linux environment.
Ability to communicate technical findings to scientists, software developers, and operational analysts and forecasters.
Degree in Atmospheric Science, Oceanography, or other Geophysical Sciences, Engineering, Computer Sciences, or Mathematics (BS preferred, advanced degree is preferred).
At least 2 years of career experience in related areas.

Benefits

Comp & perks

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