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Radar Scientist
Climavision. Build complex and novel radar-based precipitation algorithms using data from different radar frequencies, publicly available data, and Climavision’s proprietary radar network .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and analyzing radar-based precipitation algorithms, with strong proficiency in Python, C#, or C++. Capable of performing forensic meteorological analyses and communicating complex radar products effectively to clients and stakeholders.
Highest-signal resume keywords
Radar-Based Precipitation AlgorithmsDual-Pol Radar Data & AlgorithmsPython ProgrammingForensic Meteorological AnalysesLinux Environment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Radar Signal Processing TechniquesData Quality AnalysisAlgorithm DevelopmentQuality ControlDoppler Radar AnalysisPolarimetric Radar VariablesNetCDF ProductsODIM ProductsHDF5 ProductsLevel-II & Level-III Products
Soft Skills
Analytical Problem-SolvingCreative Problem-SolvingInitiative ManagementCollaborationCommunication
Tools & Technologies
PyArtMetPyGit Code RepositoriesClimavision Radar NetworkSolid-State X-Band Radar
Industry Keywords
MeteorologyRadar TechnologyWeather RadarForensic AnalysisStart-Up Experience
Tech Stack
Tools & technologiesLinuxPythonC++
About the role
Key responsibilities & impact- Build complex and novel radar-based precipitation algorithms using data from different radar frequencies, publicly available data, and Climavision’s proprietary radar network
- Produce and quality control radar-based precipitation products from the solid-state X-Band radar network
- Collaborate with software engineers to add new radar capabilities to the platform
- Describe, analyze, and derive advanced Doppler and polarimetric radar variables
- Debug errors, troubleshoot issues, and perform routine quality control on radar data
- Perform forensic meteorological analyses and verify product development accuracy
- Communicate radar precipitation products and their usage to clients and stakeholders
- Work with others across the business while maintaining a high level of individual contribution
- Address rapidly evolving challenges with emphasis on efficiency and speed
Requirements
What you’ll need- A bachelor's degree with at least three (3) years of full-time related experience or an advanced degree in Meteorology or related area
- 2+ years of Python, C# or C++ experience
- 4+ years of working with Dual-Pol Radar data & algorithms
- Deep understanding of dual-polarization weather radar and its products, ranging from NetCDF, ODIM, HDF5, Level-II, and/or Level-III products
- Experience performing forensic analyses with third-party software such as PyArt and MetPy, or own code
- Excellent analytical and creative problem-solving skills
- Ability to work in a Linux environment
- Ability to independently manage priorities and take initiative on issues
- Strong technical skills
- Knowledge of overarching radar hardware and its impact on data quality (e.g., IQ data) preferred
- Understanding of radar signal processing techniques and calculations preferred
- Familiarity with git code repositories preferred
- Peer-reviewed publication history preferred
- Start-up experience preferred
- Ability to travel occasionally
- Any offer of employment is contingent on completion of a background check to company standard
Benefits
Comp & perks- Benefits of a dynamic and growing organization
- A challenging, hands-on role that will have real impact on the business
- Competitive compensation
- Comprehensive benefits package
- 401(k) Savings Plan
- Medical/Dental/Vision Benefits
- Health Savings Account (HSA) and Flexible Spending Account (FSA)
- Unlimited Paid Time-off
- 11 Paid Holidays
- Paid Parental Leave
- Company Paid Short-term Disability (STD)
- Company Paid Long-term Disability (LTD)
- Company Paid Life Insurance
- Ability to travel occasionally