Meteorologist and Data Scientist Developer

JobCubby; College Park (MD); Hybrid; USD 110,000 - 145,000; Full time

Benefits offered by this job

Healthcare

401(k)

ESOP

PTO

Tuition assistance

Spot bonuses

Annual awards

Employee referral program

Job summary

Lynker seeks a Meteorologist and Data Scientist Developer to support a long-term contract at the Weather Prediction Center. You will work with NOAA scientists and partners to build verification methods and forecaster tools for hazardous weather.

You will apply machine learning to predictive modeling, develop AI-driven data pipelines, and transition solutions to operations, including training materials and web-based forecaster interfaces.

Qualifications

• Degree in Atmospheric Science, Engineering, CS, or Math with 2+ years of relevant experience.
• Experience applying AI/ML to environmental datasets.
• Experience with Python and Unix/Linux environments.

Responsibilities

• Collaborate with NOAA partners to develop forecast tools for hazardous weather.
• Design and train ML models to identify precursors to hazardous events.
• Develop web applications using GIS, Python, and web tech.
• Provide training materials and transition tools to operations.

Skills

Python

Unix/Linux

AI/ML

Data ingestion

Weather forecasting

Education

Bachelor's degree in Atmospheric Science/Engineering/CS/Math

Tools

TensorFlow

PyTorch

Scikit-learn

ArcGIS

JavaScript

Job description

to apply - email only, no card. You can also save this posting or score it againstyour profile with AI.## About the roleCollaborate with meteorological partners to develop and implement verification methods and forecast tools for hazardous weather. Leverage machine learning and AI algorithms to enhance predictive modeling and automate data ingestion pipelines.## RequirementsRequires a degree in Atmospheric Science, Engineering, Computer Science, or Mathematics with at least 2 years of relevant experience. Proficiency in Python, Unix/Linux environments, and experience applying AI/ML to environmental datasets is essential.## BenefitsComprehensive healthcarePrescription drug coverageDental insuranceVision insurancePersonal time offPaid holidays401(k) retirement planEmployee stock ownership planFlexible spending accountsEmployee assistance programShort-term disability insuranceLong-term disability insuranceLife insuranceAccident insuranceTuition assistanceTraining reimbursementSpot bonusesAnnual employee recognition awardsEmployee referral program## Full descriptionOverviewLynker is seeking a talented Meteorologist and Data Scientist Developer to support a long term contract at the Weather Prediction Center (WPC) and will have direct interaction with scientists within NOAA as well as partners outside of NOAA. This includes: NCEP centers, NWS weather forecast offices, NOAA research facilities, academia, and the NWS Science and Operations Officer community. In this capacity the incumbent will work with these partners to develop and implement verification methods to gauge the effectiveness of new forecaster tools applied to operational and experimental forecasts. The work will also strive to build the capacity to enhance impact decision support services (IDSS), effectively building a Weather Ready Nation. The role will also focus on leveraging machine learning techniques to enhance forecasting capabilities. This includes leading projects that apply advanced AI algorithms to predictive modeling.In addition, the incumbent will work to provide enhancements that build upon current forecaster tools as well as work to develop new services and forecaster tools. Promising work will be transitioned to operations. The incumbent will provide training materials on the enhanced forecaster products and tools. The incumbent will specifically employ machine learning models to improve existing tools and pioneer new, data-driven services.Areas of particular need and interest to be addressed include developing forecaster and verification tools for hazardous weather. Additional areas of focus include the use of ensemble model output to aid forecaster generation of probabilistic products. A key focus will be integrating AI and machine learning workflows to optimize the processing of ensemble model output and other complex meteorological datasets. This also entails applying neural networks to enhance high-resolution numerical weather prediction models.The ideal Meteorologist and Data Scientist Developer will be able to identify pertinent datasets (satellite, land use, and meteorological) and develop forecaster tools which may be implemented on web pages or within the forecaster platforms. Assignments are typically received in terms of expected outcomes, and incumbents are expected to act independently to develop methodologies, and to provide sound analyses and recommendations. Assigned projects may include analysis, application development, or other areas specific to the assignment. The ideal candidate will also leverage AI-driven data pipelines to automate the ingestion and preprocessing of vast meteorological datasets.ResponsibilitiesDuties of the Meteorologist and Data Scientist Developer will include the following:* Collaborate with meteorologists at NCEP, NWS field offices, academia, and outside partners to develop forecast tools for short to medium range time frames regarding hazardous weather.* Use scientific and technical meteorological expertise to develop tools for determination of hazard information.* As appropriate, contribute to formal scientific publications, and/or attending off-site conferences, symposia and hazardous-weather-related outreach events.* Collaborate to transition forecaster tools developed at WPC and elsewhere within NOAA into operations at WPC and other NOAA offices.* Develop web applications using modern industry languages and tools such as, GIS, Python, and PHP.* Develop training materials to transition new tools and techniques into operations.* Perform related duties as assigned.* Design and train machine learning models to identify precursors to hazardous weather events.* Implement AI-based anomaly detection systems to identify errors or gaps in real-time forecast data.QualificationsThe Meteorologist and Data Scientist Developer selected should have the following:* A degree (e.g. B.S. or B.A.) from an accredited institution in Atmospheric Science, Oceanography, or other Geophysical Sciences, Engineering, Computer Sciences, or Mathematics and have at least 2 years of experience in related areas.* Experience applying artificial intelligence (AI) and machine learning (ML) techniques to analyze and model complex environmental or meteorological datasets.* Experience with software development support in a team environment* Experience with Python and Unix shell scripting within a UNIX/Linux Environment.* Knowledge of deterministic and ensemble prediction system data sets and their application to hazardous weather diagnosis and prediction.* Knowledge of weather forecasting - short to medium range* Ability to organize, plan, and complete projects* Excellent written and oral communication skills for documentation and presentations* Ability to support team initiatives, demonstrate respect for team members, and seek team consensusThe Ideal Meteorologist and Data Scientist Developer will have the following:* Experience with development Frameworks for web based map applications ( e.g. ArcGIS, JavaScript, API)* Proficiency in data science frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn, and experience with deep learning applications in weather prediction.About LynkerLynker is a growing, employee owned 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