Remote Aws Data Scientist information
See salary details
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
How much do remote aws data scientist jobs pay per year?
As of Aug 13, 2026, the average yearly pay for remote aws data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
A Remote AWS Data Scientist is a professional who works from a location outside of a traditional office and specializes in analyzing data using Amazon Web Services (AWS) cloud tools. They design and implement data models, build machine learning workflows, and leverage AWS services like SageMaker, Redshift, and Glue to extract insights from large datasets. Their responsibilities often include cleaning and preprocessing data, developing predictive models, and collaborating with other teams to support business goals, all while working remotely.
To thrive as a Remote AWS Data Scientist, you need strong expertise in data analysis, machine learning, and statistical modeling, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with AWS cloud services (such as S3, Redshift, SageMaker), programming languages like Python or R, and relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly valuable. Excellent problem-solving, communication, and self-management skills set standout professionals apart in a remote environment. These abilities enable effective delivery of data-driven insights, successful project execution, and collaboration across distributed teams.
As a remote AWS Data Scientist, you will frequently interact with software engineers, data engineers, and business analysts through virtual meetings, shared documentation, and collaborative cloud environments. Most teams use tools like Slack, Jira, and AWS services (such as SageMaker and Redshift) to streamline communication and project management. Regular check-ins and sprint planning sessions help ensure alignment on objectives, while version control platforms like Git facilitate joint development of models and code. Emphasizing clear communication and proactive updates is key to overcoming the challenges of remote, asynchronous work.
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