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Spatial Data Scientist

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April 29, 2024 Updated June 11, 2025 19 minute read

Embarking on a Career as a Spatial Data Scientist

A Spatial Data Scientist is a professional who blends the principles of data science with geographic information systems (GIS) and spatial analysis. They work with data that has a location component, uncovering patterns, relationships, and trends that are often invisible in traditional datasets. This interdisciplinary field draws from geography, computer science, statistics, and various domain specializations to solve complex problems by understanding the "where" alongside the "what" and "why."

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Salaries for Spatial Data Scientist

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$101,000

$134,000

$180,000

$134,000

San Francisco

$128,000

$148,000

$175,000

$148,000

Seattle

$128,000

$147,000

$183,000

$147,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$101,000

$134,000

$180,000

$134,000

San Francisco

$128,000

$148,000

$175,000

$148,000

Seattle

$128,000

$147,000

$183,000

$147,000

Austin

$100,000

$136,000

$190,000

$136,000

Toronto

$122,000

$143,000

$163,000

$143,000

London

£70,000

£94,000

£122,000

£94,000

Paris

€38,500

€52,000

€64,800

€52,000

Berlin

€72,000

€84,000

€110,000

€84,000

Tel Aviv

₪344,000

₪472,000

₪597,000

₪472,000

Singapore

S$98,000

S$135,000

S$176,000

S$135,000

Beijing

¥520,000

¥828,000

¥1,056,000

¥828,000

Shanghai

¥440,000

¥510,000

¥726,000

¥510,000

Bengalaru

₹541,000

₹1,164,000

₹2,250,000

₹1,164,000

Delhi

₹377,000

₹532,000

₹719,000

₹532,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Spatial Data Scientist

Take the first step.

We've curated six courses to help you on your path to Spatial Data Scientist. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Core Spatial Data Analysis: Introductory GIS with R and QGIS

Core Spatial Data Analysis: Introductory GIS with R and...

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[Intermediate] Spatial Data Analysis with R, QGIS & More

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Remote Sensing for Land Cover Mapping in Google Earth Engine

Remote Sensing for Land Cover Mapping in Google Earth...

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Spatial Analysis and Satellite Imagery in a GIS

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Survey of python for GIS applications

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Learn geographic information systems (GIS) with QGIS

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Reading list

We haven't picked any books for this reading list yet.

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