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Geospatial Data Scientist Jobs in California (NOW HIRING)

Industrious Ventures

Software Engineer

El Segundo, CA · On-site

$150 - $200/hr

Integrate geospatial services and APIs into operational software systems * Collaborate with algorithm developers and data scientists to translate research capabilities into production software

Zoox

Data Scientist - Mapping

Foster City, CA · On-site

$176K - $240K/yr

... Science or a related field and 3+ years of experience * Experience in computer vision and machine ... Knowledge of geospatial data and coordinate systems * Ability to write highly complex, optimized ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

If you are passionate about geospatial technologies, AI-driven data quality management, and ... Bachelor's degree in computer science, mathematics, or STEM related field Recommended ...

Esri

Data Engineer II - Street Data

Redlands, CA · On-site

$115K - $138K/yr

Bachelor's degree in Computer Science, Data Engineering, GIS, or related field Recommended Qualifications * Experience with geospatial data formats * Experience with cloud data platforms (such as AWS ...

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All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in California

Geospatial Data Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do geospatial data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for geospatial data scientist in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are the most commonly searched types of Geospatial Data Scientist jobs in California?

The most popular types of Geospatial Data Scientist jobs in California are:

What are popular job titles related to Geospatial Data Scientist jobs in California?

For Geospatial Data Scientist jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Geospatial Data Scientist jobs?

Cities in California with the most Geospatial Data Scientist job openings:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Scientist - AI Strategy & Implementation

Adidev Technologies Inc

Los Angeles, CA • On-site

Full-time

Re-posted 15 hours ago

Job description

Role: Data Scientist - AI Strategy & Implementation
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev Technologies Inc
www.adidevtechnologies.com
Adidev Technologies is seeking 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 Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
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
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)
Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours).

Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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