Quantitative Meteorologist: Data-Driven Weather Scientist

Rainmaker Technology Corporation; El Segundo (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

401(k) with employer matching

Health coverage (medical, dental, and视

Relocation assistance

Unlimited PTO

Parental leave

Office lunch

EV charging at HQ

Job summary

Rainmaker is seeking a Quantitative Meteorologist in California to bridge atmospheric science with state-of-the-art data analysis. You will identify cloud-seeding opportunities, analyze meteorological data, and design rigorous studies to distinguish intervention effects from natural variability.

You will build reusable tools and collaborate with software engineers to automate forecasting workflows. The role emphasizes quantitative problem-solving, cross-functional communication, and ownership of

Qualifications

• Advanced degree in meteorology or related quantitative field.
• Experience applying statistics to environmental data.
• Ability to translate meteorology into quantitative problems.

Responsibilities

• Develop methods to identify cloud-seeding opportunities.
• Analyze historical and real-time meteorological data.
• Design studies distinguishing intervention effects from natural variability.
• Build tools for evaluating cloud-seeding programs.
• Collaborate with software engineers on forecasting workflows.
• Communicate results to diverse stakeholders.

Skills

Python proficiency

Statistical analysis

Quantitative reasoning

Communication skills

Ambiguity tolerance

Analytical tooling

Education

PhD in meteorology or related field

Tools

Python (NumPy, SciPy, pandas, xarray)

GRIB/netCDF data handling

WRF/HRRR/GFS/ECMWF data processing

Job description

Rainmaker is seeking a Quantitative Meteorologist in California to bridge atmospheric science with state-of-the-art data analysis. You will identify cloud-seeding opportunities, analyze meteorological data, and design rigorous studies to distinguish intervention effects from natural variability.

You will build reusable tools and collaborate with software engineers to automate forecasting workflows. The role emphasizes quantitative problem-solving, cross-functional communication, and ownership of