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Quantitative Meteorologist

make-rain · El Segundo, CA
Full-timeScienceTechnology$72,000–$98,000/yr
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About the Quantitative Meteorologist role

Quantitative Meteorologist positions focus on delivering results in their domain. This page aggregates open Quantitative Meteorologist roles and what employers typically expect.

About Rainmaker Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs. Research at Rainmaker is attached directly to operations. Our scientists and engineers collect proprietary observations, deliberately intervene in atmospheric systems, evaluate the results, and use what they learn to improve the next operation. About the Role As a Quantitative Meteorologist, you will bridge atmospheric science, statistical analysis, operational decision-making, and commercial program design. You will develop rigorous methods for identifying when and where cloud-seeding operations are most likely to be effective, evaluating completed operations, improving real-time forecast and nowcast workflows, and assessing potential new programs. You will turn meteorological expertise that currently lives in individual judgment into repeatable analyses, decision systems, and defensible measures of performance. This is not primarily a shift-forecasting role or a pure academic-research position. You will own ambiguous quantitative questions that span science, operations, product, and business development, and you will personally build the analyses and tools needed to answer them.

Salary estimate

$72,000 – $98,000/yr
Provided by the employer.

Resume tips for Quantitative Meteorologist applicants

Interview preparation

Prepare concrete STAR-format stories that show Quantitative Meteorologist outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical Quantitative Meteorologist problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About make-rain

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