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From Home Spatial Statistics Jobs in California (NOW HIRING)

Sutter Health

Statistician III

Walnut Creek, CA · On-site

$114K - $172K/yr

This is a hybrid position with both work from home and onsite requirements. The successful ... Master's degree in Statistics, Biostatistics, Mathematics or a closely related field * PhD ...

Sutter Health

Statistician III

Sacramento, CA · Hybrid

$114K - $172K/yr

This is a hybrid position with both work from home and onsite requirements. The successful ... Master's degree in Statistics, Biostatistics, Mathematics or a closely related field * PhD ...

Sutter Health

Statistician III

Palo Alto, CA · Hybrid

$114K - $172K/yr

This is a hybrid position with both work from home and onsite requirements. The successful ... Master's degree in Statistics, Biostatistics, Mathematics or a closely related field * PhD ...

Sutter Health

Statistician III

Walnut Creek, CA · Hybrid

$114K - $172K/yr

This is a hybrid position with both work from home and onsite requirements. The successful ... Master's degree in Statistics, Biostatistics, Mathematics or a closely related field * PhD ...

Doist

Data Scientist

Fairfield, CA · On-site

$140 - $190/hr

Experience with geospatial statistics and spatial modeling. * Experience with AI and Generative AI ... Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on ...

New

Alimentiv

Statistician

Ontario, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... from the project teams that incorporates the type of information collected, sample size ... Home-based. $78,000 - $130,000 a year + Annual Bonus - Target 8% Extended Health Benefits

Superprof

Statistics Private Tutoring Jobs

Merced, CA · On-site

We enable our tutors to set their own rates, work from home, tutor online or in-person and connect with thousands of motivated students through our platform. Mission Superprof is offering you the ...

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All JobsSpatial Statistics JobsFrom Home Spatial Statistics JobsFrom Home Spatial Statistics Jobs in California

From Home Spatial Statistics information

What is the difference between From Home Spatial Statistics vs From Home Geographic Information Systems (GIS) Specialist?

AspectFrom Home Spatial StatisticsFrom Home Geographic Information Systems (GIS) Specialist
Required CredentialsBachelor's or master's in statistics, geography, or related fields; proficiency in statistical softwareBachelor's or master's in GIS, geography, or related fields; GIS certifications often preferred
Work EnvironmentRemote, often involving data analysis and statistical modelingRemote or on-site, focusing on spatial data mapping and GIS software
Industry UsageResearch, urban planning, environmental analysisUrban planning, environmental management, infrastructure projects
Common Search/ComparisonYesYes

From Home Spatial Statistics and From Home GIS Specialist both involve working with spatial data remotely. Spatial Statistics emphasizes data analysis and modeling, while GIS Specialists focus on mapping and spatial data management. Both roles require relevant degrees and often overlap in industries like urban planning and environmental research, but they differ in core skills and software used.

What are popular job titles related to From Home Spatial Statistics jobs in California?

For From Home Spatial Statistics jobs in California, the most frequently searched job titles are:

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The top searched job categories for From Home Spatial Statistics jobs in California are:

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Cities in California with the most From Home Spatial Statistics job openings:

From Home Spatial Statistics jobs near you
Infographic showing various From Home Spatial Statistics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Rainmaker Fellow, Atmospheric Science

Rainmaker Technology Corporation

El Segundo, CA • On-site

Full-time

Medical, Dental, Vision

Posted 21 days ago

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.
Examples 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.

Particularly Relevant Experience
  • GRIB, netCDF, xarray, reanalysis, NWP, radar, satellite, terrain, or operational datasets.
  • Climatology, forecast verification, spatial statistics, time-series analysis, uncertainty quantification, or decision analysis.
  • 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
  • Free EV charging at the HQ

$8,000 - $8,000 a month

Apply