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# Sr Data Scientist, WWSO Bedrock

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $183,000.0 - $247,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Visualization, Query Languages, Distributed Systems, R (Programming Language), Python (Programming Language), Logistic Regression, MATLAB, Machine Learning, Mathematical Software, Power BI, SAS (Software), SQL Databases, Tableau (Software), Scripting, Information Technology, Data Pipelines
- **Published:** July 18, 2026
- **Apply:** https://dejobs.org/x/x/6848B7BBE5B64BDF9CB86CC0B6339520/job/

## About the Role

* 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 * 4+ years of data scientist experience
 * Experience with statistical models e.g. multinomial logistic regression
 * 5+ years of management of technical, enterprise customer facing resources or equivalent experience
 * 7+ years design/implementation/consulting experience of distributed applications
 * 5+ years of hands-on experience with AI/ML or related technology domain
 * 3+ years of hands-on experience with Responsible AI

Preferred Qualifications

 * 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
 * Experience managing data pipelines
 * Experience as a leader and mentor on a data science team
 * Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
 * Experience with presentations and speaking with executives, IT, management, and developers
 * BS degree in computer science or equivalent, or 4+ years of technical work experience
 * History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises
 * Track record of thought leadership and innovation around Responsible AI.

## Description

* Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and explore new solutions. You will interact closely with our customers and with the academic community.
 * Thought Leadership - Evangelize AWS features relating to Responsible AI and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
 * Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
 * Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.


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