About Rainmaker Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, r…
About Rainmaker Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, r…
Skills: Python, Radar Meteorology, Atmospheric Science, Signal Processing, Remote Sensing
About Rainmaker Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, r…
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The Los Angeles Lakers, Inc
Senior Director, Business Solutions
El Segundo, California, United States · On-site
$155k–$170k/yr
Senior+
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Skills: Business Development, Strategic Planning, Partnership Management, CRM Management, Audience Research
The Los Angeles Lakers, Inc
Manager, Business Solutions
El Segundo, California, United States · On-site
$73k–$83k/yr
Mid level
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Full-time, Temporary
bachelor degree, postgraduate degree
Medical insurance, Dental insurance, Vision insurance, Lunch provided, Stocked kitchenette, Free EV charging
Posted 50d ago
~40 hrs/week
Responsibilities
Fellows will translate atmospheric and operational questions into quantitative analyses to improve cloud-seeding systems. Responsibilities include building quality-controlled datasets and delivering technical artifacts like evaluation frameworks or operational tools.
Requirements
Candidates should be early-career researchers or students with a background in atmospheric science, physics, or applied mathematics. Proficiency in Python and experience with meteorological or geospatial datasets are required.
Full job description
About Rainmaker
Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs.
Rainmaker needs quantitative methods that translate atmospheric conditions into operational and program-design decisions. Fellows work on analyses intended to change what Rainmaker builds, where it operates, or how it evaluates results.
About the Fellowship
The Rainmaker Atmospheric Science Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.
You will join Rainmaker's atmospheric-science team and work alongside our researchers on a scoped quantitative project drawn from Rainmaker's current scientific and operational priorities and defined in close collaboration with your research lead or mentor. Project matching will consider available data, mentor capacity, team needs, and your background. You will take responsibility for a concrete analytical workstream while contributing to the broader team's research, reviews, and operational decisions.
Fellows are not expected to arrive with an independent research agenda or define a project in isolation. You will be expected to turn an important atmospheric or operational question into a rigorous analysis and a result the team can continue using.
\nExamples of the Work
Fellowship projects change with Rainmaker's research and operational priorities. Examples of the work our quantitative atmospheric-science team may pursue include:
Estimating seedable hours and program opportunity for a proposed or existing operating region.
Quantitatively evaluating cloud-seeding operations, targeting decisions, or factors associated with precipitation yield.
Building ground-truth datasets and validation methods for forecasting, retrieval, or machine-learning systems.
Verifying forecasts or automating a meteorological analysis used by operations.
Comparing program designs, targeting strategies, or operational constraints across candidate regions.
What You'll Do
Work with your research lead to 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.
What We're Looking For
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.
Cloud microphysics, precipitation, orographic meteorology, convection, weather modification, or field operations.
Reproducible scientific workflows and decision-oriented visualization.
What Success Looks Like
By the end of the fellowship, you will have answered a clearly defined scientific or operational question and delivered a result the atmospheric-science team can continue using. The work should include clear uncertainty and sensitivity analysis and should not present an analytical proxy as more certain than the underlying observations support.
Fellowship Details
Paid, full-time, and on-site in El Segundo.
Three-to-six-month appointment, with three months as the standard duration.
Rolling applications and project-specific start dates.
Attached directly to Rainmaker's atmospheric-science team with a named mentor.
Possible consideration for future full-time roles, without any promise or expectation of conversion.
Compensation and Benefits
$8,000 per month
Benefits:
Full health coverage (medical, dental, and vision insurance)
Lunch provided when working in-office and a fully stocked kitchenette
How much do Data & Analytics jobs in El Segundo, CA pay?
Based on 199 listings with disclosed salaries, most data & analytics jobs in El Segundo, CA pay between $80k–$200k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in El Segundo, CA right now?
There are currently 244 open data & analytics positions in El Segundo, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in El Segundo, CA?
Companies currently hiring include Mattel, Inc., Canvas Worldwide, The Aerospace Corporation, Faraday Future, Rainmaker Technology Corporation, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in El Segundo, CA?
Yes — 87 of the 244 open data & analytics positions offer remote or hybrid work (23 remote, 64 hybrid).
How do I apply for Data & Analytics jobs in El Segundo, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.