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Geospatial Science Jobs in California (NOW HIRING)

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline ...

Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical tasks. * Evaluate AI-generated solutions for complex geospatial problems, debugging, and code ...

Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical tasks. * Evaluate AI-generated solutions for complex geospatial problems, debugging, and code ...

Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical tasks. * Evaluate AI-generated solutions for complex geospatial problems, debugging, and code ...

A Taste of What You'll Do ​ Join our team as a GIS (Geospatial Data Science) and be at the forefront of innovation in wine grape production. We are dedicated to fostering an inclusive environment ...

A Taste of What You'll Do Join our team as a GIS (Geospatial Data Science) and be at the forefront of innovation in wine grape production. We are dedicated to fostering an inclusive environment where ...

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Senior Project Surveyor

Rancho Cucamonga, CA · On-site

$125K - $185K/yr

Bachelor's degree in Geospatial Science or a related field preferred, * Licensed as a Professional Land Surveyor (PLS) in California required, * 7+ years' of experience in office mapping with AutoCAD ...

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Senior Project Surveyor

Anaheim, CA · On-site

$125K - $185K/yr

Bachelor's degree in Geospatial Science or a related field preferred, * Licensed as a Professional Land Surveyor (PLS) in California required, * 7+ years' of experience in office mapping with AutoCAD ...

PLS Land Surveyor

Sacramento, CA · On-site

$150K - $180K/yr

Bachelor's degree in Geospatial Science or a related field preferred, * Licensed as a Professional Land Surveyor (PLS) in California required, * 7+ years' of experience in office mapping with AutoCAD ...

Role Summary As the Applied Science Platform Lead, you'll lead the platform sub‑team within ... Design and operate geospatial pipelines that merge heterogeneous spatial datasets into reproducible ...

Showing results 21-40

Geospatial Science information

See California salary details

$61.7K

$76.3K

$91.3K

How much do geospatial science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for geospatial science in California is $76,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $80,900.00 per year, depending on experience, location, and employer.

What is geospatial science?

A Geospatial Science job involves collecting, analyzing, and interpreting spatial data to understand geographic patterns and relationships. Professionals in this field use technologies like GIS (Geographic Information Systems), remote sensing, and GPS to support decision-making in areas such as urban planning, environmental management, and disaster response. Roles may include GIS analysts, cartographers, surveyors, or remote sensing specialists. These jobs are found in industries like government, agriculture, transportation, and defense. Strong analytical skills and proficiency in geospatial software are essential for success in this field.

What are the typical daily responsibilities for someone working in geospatial science?

Professionals in Geospatial Science typically spend their days collecting, analyzing, and interpreting spatial data using GIS and remote sensing technologies. Responsibilities often include creating digital maps, conducting spatial modeling, managing geospatial databases, and supporting environmental or urban planning projects. Collaboration with engineers, surveyors, and project managers is common, as is the need to present findings to stakeholders through reports or visualizations. The role offers a dynamic mix of independent technical work and teamwork, making it ideal for those who enjoy both in-depth analysis and collaborative problem-solving.

What are the key skills and qualifications needed to thrive in geospatial science, and why are they important?

To succeed in Geospatial Science, you need strong analytical skills, a background in geography or environmental science, and proficiency in spatial data analysis. Familiarity with GIS software (like ArcGIS or QGIS), remote sensing tools, and certifications such as GISP or Esri Technical Certification are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you work with interdisciplinary teams and convey complex spatial information. These competencies are crucial for ensuring accurate data interpretation and impactful decision-making in projects involving mapping, planning, or resource management.

Is a geospatial science degree worth it?

A geospatial science degree provides foundational knowledge in GIS, remote sensing, and spatial analysis, which are valuable skills in fields like urban planning, environmental management, and defense. The degree can lead to roles that require proficiency with tools such as ArcGIS and GPS technology, often offering good job prospects and salary potential for those with technical expertise.

What do geospatial scientists do?

Geospatial scientists analyze geographic data using tools like GIS (Geographic Information Systems), remote sensing, and spatial analysis to solve problems related to mapping, environmental management, urban planning, and resource allocation. They collect, interpret, and visualize spatial information to support decision-making in various industries.

What jobs can I get with a geospatial science degree?

A geospatial science degree prepares individuals for roles such as GIS analyst, remote sensing specialist, cartographer, geospatial data analyst, and GIS technician. These jobs involve working with geographic information systems, spatial data analysis, mapping, and using tools like ArcGIS or QGIS, often requiring strong technical skills and attention to detail.

What job categories do people searching Geospatial Science jobs in California look for?

The top searched job categories for Geospatial Science jobs in California are:

What cities in California are hiring for Geospatial Science jobs?

Cities in California with the most Geospatial Science job openings:

Infographic showing various Geospatial Science job openings in California as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $76,342 per year, or $36.7 per hour.

Data Science

San Francisco, CA • Remote

Adidev Technologies Inc
IT Services • 11 - 50 employees

Full-time

Re-posted 22 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME