Lynker Corporation is a leading provider of innovative solutions in weather and climate science. 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.
 

Lynker seeks a candidate with geospatial, statistical/machine learning, and hydrologic modeling expertise to support the calibration and regionalization efforts for the NOAA Office of Water Prediction’s National Water Model. The National Water Model is a continental-scale modeling framework of hydrologic processes to help protect lives and property. This position may assist in 1) generating geospatial datasets to inform machine learning models, 2) calibrating and regionalizing parameters from hydrologic models, and 3) contributing to machine-learning based hydrologic modelling. The ideal candidate possesses a familiarity with developing scientific software tooling, wrangling publicly-available hydrologic datasets, and has experience in hydrologic modelling and/or earth sciences. 

• Perform calibration, validation, and statistical evaluation of hydrologic models
• Evaluate process-based and machine-learning based hydrologic models
• Providing feedback on documentation, functionality, and optimization tools of hydrologic models and scientific workflows
• Develop and maintain version-controlled, community-oriented software tools for hydrologic models and the interpretation and evaluation of their performance and functionality
• Analyze and visualize hydrometeorological and geospatial data using Python, R, or other open-source programming languages
• Conduct Quality Assurance and Quality Control on scientific workflows and data processing scripts, including machine learning algorithms
• Technical report preparation and documentation
• Fulfilling other duties as assigned

Required Qualifications:

Education and Experience

• BS, MS or PhD in Earth Sciences, Applied Mathematics, Computer Science or related disciplines
• 5+ years of experience in water resources or related physical science
• Scientific software development experience in Python and R, or other open-source programming languages

Preferred Qualifications:

• Experience in machine learning and/or statistical methods
• Experience developing automated geospatial processing and analysis workflows
• Experience accessing and analyzing publicly-available hydrologically-relevant datasets
• Experience in hydrological modeling, process representation, and analysis
• Experience in model calibration and/or search space optimization
• Experience with automated hydrologic modeling workflows

About Lynker

Lynker is a growing, employee owned, small business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

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

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.