Remote Radar Scientist — Dual-Pol & QPE Expert

Climavision; Louisville, Raleigh (KY, NC); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Medical/Dental/Vision Benefits

401(k) Savings Plan

Unlimited Paid Time-off

11 Paid Holidays

Paid Parental Leave

Job summary

Climavision seeks a Radar Scientist to build and optimize multi-frequency radar-based precipitation algorithms using data from proprietary radar networks and public sources. You will communicate products to clients and stakeholders while ensuring accuracy through forensic analyses.

This remote US-based role requires hands-on work with dual-polarization radar data and advanced forecasting models, with opportunities to contribute across software and research teams.

Qualifications

• Bachelor’s degree with at least 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 (NetCDF, ODIM, HDF5, Level-II/III).
• Experience with forensic analyses using third-party software or own code.
• Ability to work in a Linux environment.

Responsibilities

• Produce and quality control radar-based precipitation products from our radar network and collaborate with software engineers to add new capabilities.
• 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 to verify product development accuracy.

Skills

Python

C++

Linux

Data analysis

Education

Bachelor's degree + 3 years experience in Meteorology or related area

Tools

PyArt

MetPy

Git

Job description

Climavision seeks a Radar Scientist to build and optimize multi-frequency radar-based precipitation algorithms using data from proprietary radar networks and public sources. You will communicate products to clients and stakeholders while ensuring accuracy through forensic analyses.

This remote US-based role requires hands-on work with dual-polarization radar data and advanced forecasting models, with opportunities to contribute across software and research teams.