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# Data Scientist, AWF Exports Data Science

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $136,000.0 - $184,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Artificial Neural Networks, Extract Transform Load (ETL), Query Languages, Perl (Programming Language), Genetic Algorithm, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, Natural Language Processing, SAS (Software), SQL Databases, Scripting, Build Tools
- **Published:** August 31, 2026
- **Apply:** https://dejobs.org/x/x/DAE37697C6EE45FEAEE6193FECE0ECCE/job/

## About the Role

* 2+ years of data scientist experience
 * 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 * 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 * Experience applying theoretical models in an applied environment

Preferred Qualifications

 * Experience in Python, Perl, or another scripting language
 * Experience in a ML or data scientist role with a large technology company

## Description

Amazon is seeking a motivated candidate to provide insights into opportunities for operational improvement through analytics. Role will require analysis, understanding of the systems workflow, cross-functional communication and issues management.

The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results.

Key job responsibilities

· Design and implement scalable and reliable approaches to support or automate decision making throughout the business.

· Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.

· Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.

· Acquire by building the necessary / ETL queries.

· Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.

· Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.

· Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.

· Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.

· Build relationships with stakeholders and counterparts.


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