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# Data Scientist I, Central Learning Solutions Science

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Salary:** $108,300.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Content Analysis, Query Languages, R (Programming Language), Apache Hadoop, MapReduce, Apache Hive, Statistical Hypothesis Testing, SPSS (Software), Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, S-PLUS, SAS (Software), SQL Databases, Data Processing, Scripting, Apache Spark, Model Validation, Data Analytics
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=90fee39159419d54

## About the Role

* 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 * 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
 * 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
 * Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM), * Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 * Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
 * Knowledge of machine learning concepts and their application to reasoning and problem-solving
 * Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
 * Experience working with or evaluating AI systems
 * Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 * Experience effectively communicating complex concepts through written and verbal communication

## Description

The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms for building personalized learning experiences based on the profiles of different learners and assess the post-training performance curves for different learner profiles., * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.

 * Use advanced causal inference methodologies to estimate the learning curves for different learner profiles and the effectiveness of training content.
 * Perform statistical analysis and statistical tests including hypothesis testing and A/B testing.
 * Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems.
 * Present deep dives and analysis to both technical and non-technical stakeholders, ensure clarity, and influence the strategy of business partners.

About the team
Central Learning Solutions (CLS) is the centralized technical team that builds Learning & Development products for North America Operations employees. CLS Science teams owns the science components that power the different products on Impact Estimation, Self Serve Analytics, Content Understanding, and Personal learning.