Data Scientist, Sales
About The Position
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 precipitationâand 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 partnersâquantifying 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.
Requirements
- 4+ years of experience in data science, quantitative economics, or applied researchâideally 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 dataâyou can make defensible estimates when perfect data doesn't exist
Nice To Haves
- 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
Responsibilities
- Economic Benefit Modeling: Develop and refine models that quantify the dollar-value impact of incremental precipitationâacross 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 partnersâshowing 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 outcomesâworking 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 stakeholdersâincluding water districts, agricultural co-ops, investors, and government officials.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
