M
Make Rain15d ago
USD 100000–140000/yr

Data Scientist, Sales

Data ScienceData ScientistDataData & AI
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Quick Summary

Key Responsibilities

Develop and refine models that quantify the dollar-value impact of incremental precipitation—across agriculture, hydropower, municipal water supply, wildfire mitigation, and ecosystem services.

Technical Tools
Data ScienceData ScientistDataData & AI

Rainmaker is ending water scarcity with next-generation cloud seeding. Through an integrated system of advanced radar, unmanned aircraft, and a cutting-edge weather awareness platform, we steward the natural world and make freshwater available to all. Cloud seeding delivers moderate, predictable increases in precipitation—and over years, those gains lead to powerful outcomes: restoring ecosystems, recharging aquifers, and reducing wildfire risk.

We are an engineering organization and a microcosm of El Segundo's deep-tech renaissance. We iterate quickly to solve the most important problem of our age.

 

We're looking for a Data Scientist to join our Business Development and Program Development teams. You'll be the analytical backbone behind how we demonstrate economic value to partners—quantifying the benefit of additional snowpack and water supply, and building the data infrastructure that correlates our operations to real-world outcomes for agriculture, municipalities, utilities, and environmental stakeholders.

This role sits at the intersection of environmental science, economics, and data storytelling. You'll work with messy, multi-source datasets (weather, hydrology, commodity pricing, land use, economic indicators) to produce clear, defensible benefit analyses that drive partnerships and program expansion.

 

Responsibilities

~1 min read

What We Offer

~1 min read
4+ years of experience in data science, quantitative economics, or applied research—ideally in water resources, agriculture, environmental consulting, or a related domain
Strong skills in Python or R for data analysis, statistical modeling, and visualization
Experience working with geospatial data (GIS, satellite/remote sensing, or hydrological datasets)
Ability to translate technical findings into business value and communicate to diverse audiences
Comfort with ambiguity and incomplete data—you can make defensible estimates when perfect data doesn't exist

Nice to Have

~1 min read
  • Background in hydrology, water economics, agricultural economics, or environmental science

  • Experience with economic impact analysis, cost-benefit analysis, or ROI modeling

  • Familiarity with cloud seeding, precipitation enhancement, or atmospheric science

  • Experience working with government agencies, water districts, or agricultural stakeholders

  • SQL proficiency and experience building data pipeline

Location & Eligibility

Where is the job
El Segundo, United States
On-site at the office
Who can apply
US
Listed under
United States

Listing Details

Posted
April 15, 2026
First seen
April 15, 2026
Last seen
April 30, 2026

Posting Health

Days active
15
Repost count
0
Trust Level
39%
Scored at
April 30, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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M
Data Scientist, SalesUSD 100000–140000