Quantitative Atmospheric Science Fellow

Rainmaker Technology Corporation

El Segundo (CA)

On-site

USD 76,000 - 103,000

Full time

4 hours ago
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Benefits offered by this job

Full health coverage (medical, dental,

Job summary

Rainmaker is seeking a Fellow to join our atmospheric-science team in El Segundo for a paid, full-time research appointment. You will work on a scoped quantitative project drawn from Rainmaker's priorities and collaborate with a research mentor.

You will translate questions into measurable criteria, build quality datasets, and apply statistical and geospatial methods. The role emphasizes uncertainty analysis and practical operational insights.

Qualifications

  • Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible.
  • Background in meteorology, atmospheric science, applied mathematics, statistics, physics, hydrology, geospatial science, or a related field.
  • Strong Python and quantitative-analysis ability.
  • Experience with meteorological, climate, geospatial, radar, satellite, or model data.
  • Ability to make ambiguous definitions explicit and test the sensitivity of results to assumptions.
  • Strong scientific judgment about uncertainty, representativeness, and the difference between an analytical proxy and operational ground truth.
  • Clear written and verbal communication.
  • Availability for full-time, on-site work in El Segundo for the agreed appointment.

Responsibilities

  • Translate an atmospheric, operational, or program-design question into measurable quantitative criteria.
  • Build and document the quality-controlled dataset required for the assigned project.
  • Apply appropriate statistical, climatological, geospatial, verification, or decision-analysis methods.
  • Compare results across relevant reanalysis, NWP, satellite, radar, terrain, operational, or in-situ data sources.
  • Incorporate practical operational constraints when they are relevant to the question.
  • Quantify uncertainty, missingness, bias, and sensitivity to assumptions.
  • Create maps, summaries, and decision-oriented outputs for scientists, operators, and program designers.
  • Build a documented and reusable workflow that the team can extend to future questions.
  • Deliver a final artifact such as a dataset, analysis, evaluation framework, operational tool, technical report, or presentation.

Skills

Python
Quantitative analysis
Meteorology background
Geospatial data
Communication

Tools

GRIB
netCDF
xarray
Reanalysis data
NWP
Radar data
Satellite data

Job description

Rainmaker is seeking a Fellow to join our atmospheric-science team in El Segundo for a paid, full-time research appointment. You will work on a scoped quantitative project drawn from Rainmaker's priorities and collaborate with a research mentor.

You will translate questions into measurable criteria, build quality datasets, and apply statistical and geospatial methods. The role emphasizes uncertainty analysis and practical operational insights.

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