Meteorologist, Data Scientist

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🔥 41 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $68k - $85k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Lynker

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🔬 Science

Science • Engineering • Environmental Policy & Compliance

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

• 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 severe weather events. • Implement AI-based anomaly detection systems to identify errors or gaps in real-time forecast data.

🎯 Requirements

• Degree in meteorology, hydrology or related science fields (BS required, with MS or above preferred) • 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 consensus • 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.

🏖️ 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