Cloud-Seeding Quantitative Meteorologist

Rainmaker Technology Corporation; El Segundo (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Stock options

401(k) matching

Full health coverage

Relocation assistance

Unlimited PTO

Parental leave

Lunch provided

EV charging at HQ

Job summary

Rainmaker Technology Corporation is seeking a Quantitative Meteorologist to bridge atmospheric science and operations. You will develop methods to identify cloud-seeding opportunities, analyze data, and build repeatable analyses and tools for decision support.

You will own questions spanning science, operations, product, and business, delivering defensible measures of performance and automation with software engineers.

Qualifications

• Advanced degree in meteorology, atmospheric science, applied mathematics, statistics, physics, or related quantitative field, or equivalent exceptional ability.
• Strong understanding of cloud and precipitation processes, mesoscale meteorology, and numerical weather prediction.
• Experience applying statistical methods to noisy, spatially and temporally correlated environmental data.
• Strong Python and scientific-computing skills, including NumPy, SciPy, pandas, xarray, and geospatial libraries.
• Experience with meteorological data such as GRIB, netCDF, radar, satellite, model, sounding, aircraft, or surface observations.
• Ability to formulate ambiguous scientific and operational questions as measurable quantitative problems.
• Experience building reproducible analyses, automated workflows, datasets, or decision-support tools.
• Strong judgment about causality, confounding, uncertainty, validation, and observational limits.
• Clear written and verbal communication across scientific, operational, engineering, and commercial teams.
• High agency and willingness to do analytical and implementation work personally.

Responsibilities

• Develop quantitative methods for identifying, scoring, and ranking cloud-seeding opportunities.
• Analyze historical and real-time meteorological data to understand conditions for successful targeting and outcomes.
• Design observational studies, experiments, and analyses distinguishing intervention effects from natural variability.
• Establish honest uncertainty bounds and communicate when evidence is not causal.
• Build reusable tools for evaluating cloud-seeding programs and their components.
• Collaborate with software engineers to automate meteorological forecasting and nowcasting workflows.
• Develop decision-support methods combining NWP, ensembles, radar, satellite, sounding, and in-situ observations.
• Define ground truth, baselines, validation methods, and performance metrics for forecasting and estimation systems.
• Translate meteorological concepts into features and evaluation frameworks for machine learning work.
• Work with ML and software engineers on hybrid approaches while ensuring meteorological validity.
• Produce analyses supporting customer proposals, program design, business development, and reviews.
• Create feedback loops between forecasting, field ops, sensor development, and model development.
• Communicate results clearly to scientists, operators, engineers, customers, regulators, and stakeholders.

Skills

Python

NumPy

SciPy

pandas

xarray

Geospatial

Education

PhD in meteorology

Tools

WRF

HRRR

GFS

ECMWF

Data assimilation

Job description

Rainmaker Technology Corporation is seeking a Quantitative Meteorologist to bridge atmospheric science and operations. You will develop methods to identify cloud-seeding opportunities, analyze data, and build repeatable analyses and tools for decision support.

You will own questions spanning science, operations, product, and business, delivering defensible measures of performance and automation with software engineers.