Meteorologist, Data Scientist

🔥 1 hour ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $75k - $120k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Lynker

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

💼 Consulting

🔬 Science

Consulting • Science • Engineering

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 • Contribute to formal scientific publications and/or attend 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 • 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 • Identify pertinent satellite, land use, and meteorological datasets • Develop forecaster tools for web pages or forecaster platforms • Develop methodologies and provide sound analyses and recommendations independently • Leverage AI-driven data pipelines to automate ingestion and preprocessing of meteorological datasets • Perform related duties as assigned

🎯 Requirements

• 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 • 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 consensus • Experience with development Frameworks for web based map applications (e.g. ArcGIS, JavaScript, API) (ideal) • Proficiency in data science frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn, and experience with deep learning applications in weather prediction (ideal)

🏖️ 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