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Cloud Data Scientist

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March 29, 2024 Updated October 22, 2025 20 minute read

Cloud Data Scientist: A Comprehensive Career Guide

A Cloud Data Scientist represents a modern evolution of the data science field, specializing in leveraging cloud computing platforms to analyze vast datasets and deploy sophisticated machine learning models. This role combines the analytical prowess of a traditional data scientist with the infrastructure expertise needed to operate effectively within cloud environments like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. They are architects of data-driven insights scaled through the power of the cloud.

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Salaries for Cloud Data Scientist

City
Median
New York
$189,000
San Francisco
$294,000
Seattle
$178,000
See all salaries
City
Median
New York
$189,000
San Francisco
$294,000
Seattle
$178,000
Austin
$189,000
Toronto
$164,000
London
£96,000
Paris
€53,000
Berlin
€96,000
Tel Aviv
₪560,000
Singapore
S$137,000
Beijing
¥554,000
Shanghai
¥554,000
Shenzhen
¥543,000
Bengalaru
₹4,400,000
Delhi
₹2,660,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Reading list

We've selected some books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cloud Data Scientist.
Comprehensive guide to cloud computing. It covers a wide range of topics, including cloud computing architectures, technologies, and applications. It good resource for advanced learners who want to learn more about the technical aspects of cloud computing.
Is written for IT professionals who want to learn how to design and implement cloud computing solutions. It covers a wide range of topics, including cloud computing architectures, security, and management.
In addition to being an introduction to cloud computing, it also discusses the ways in which cloud computing is changing the way we think about computing as a whole.
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