Data Scientist, Sales
Rainmaker, El Segundo, CA, United States
About Rainmaker
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.
The Role
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.
What You'll Do
Economic Benefit Modeling:
Develop and refine models that quantify the dollar-value impact of incremental precipitation-across agriculture, hydropower, municipal water supply, wildfire mitigation, and ecosystem services.
>
Partner-Specific Analysis:
Work directly with Business Development to tailor analyses for prospective and existing partners-showing ROI in terms they care about (yield improvements, reduced water acquisition costs, reservoir storage gains, etc.).
>
Data Pipeline Development:
Identify, acquire, and integrate external datasets (USGS streamflow, SNOTEL snowpack, USDA crop data, utility rate schedules, regional economic data) into our analytical infrastructure.
>
Correlation & Attribution:
Build frameworks to correlate Rainmaker operations with downstream outcomes-working with our Research team to link precipitation enhancement to measurable hydrological and economic effects.
>
Visualization & Communication:
Translate complex analyses into clear dashboards, one-pagers, and presentations for non-technical stakeholders-including water districts, agricultural co-ops, investors, and government officials.
>
What We're Looking For
Required:
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
>
Preferred:
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
>
$100,000 - $140,000 a year
Rainmaker is an Equal Opportunity Employer; employment with Rainmaker is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Rainmaker participates in E-Verify. To learn more, including your rights and responsibilities, please visit E-Verify.gov.
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.
The Role
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.
What You'll Do
Economic Benefit Modeling:
Develop and refine models that quantify the dollar-value impact of incremental precipitation-across agriculture, hydropower, municipal water supply, wildfire mitigation, and ecosystem services.
>
Partner-Specific Analysis:
Work directly with Business Development to tailor analyses for prospective and existing partners-showing ROI in terms they care about (yield improvements, reduced water acquisition costs, reservoir storage gains, etc.).
>
Data Pipeline Development:
Identify, acquire, and integrate external datasets (USGS streamflow, SNOTEL snowpack, USDA crop data, utility rate schedules, regional economic data) into our analytical infrastructure.
>
Correlation & Attribution:
Build frameworks to correlate Rainmaker operations with downstream outcomes-working with our Research team to link precipitation enhancement to measurable hydrological and economic effects.
>
Visualization & Communication:
Translate complex analyses into clear dashboards, one-pagers, and presentations for non-technical stakeholders-including water districts, agricultural co-ops, investors, and government officials.
>
What We're Looking For
Required:
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
>
Preferred:
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
>
$100,000 - $140,000 a year
Rainmaker is an Equal Opportunity Employer; employment with Rainmaker is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Rainmaker participates in E-Verify. To learn more, including your rights and responsibilities, please visit E-Verify.gov.