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# Data Scientist , Leo Customer Terminal

- **Company:** Amazon.com, Inc.
- **Location:** Redmond, WA, United States
- **Experience:** Experienced
- **Salary:** $136,000.0 - $184,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Business Analytics Applications, Data Analysis, Query Languages, Perl (Programming Language), R (Programming Language), Hardware Design, Internet Services, Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, Software Architecture, Requirements Management, SAS (Software), SQL Databases, Scripting, Large Language Models, Data Analytics
- **Published:** August 22, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10509604/data-scientist-leo-customer-terminal

## About the Role

Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

 - 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
 - Experience conducting and documenting trade studies and design trades
 - Strong analytical, problem-solving, and communication skills
 - Ability to work in a small team and drive beyond expectations to deliver results, Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 - Knowledge of machine learning concepts and their application to reasoning and problem-solving
 - Experience in Python, Perl, or another scripting language
 - Experience in a ML or data scientist role with a large technology company
 - Experience in defining and creating benchmarks for assessing GenAI model performance
 - Experience working on multi-team, cross-disciplinary projects
 - 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

As a Data Scientist, you will be responsible for developing advanced analytics and machine learning solutions for user terminals. You will develop predictive models to proactively identify possible user terminal failures in the field. You will work in a collaborative environment with a multi-disciplinary team, including constellation, RF, antenna, silicon, algorithm, and software engineers., As a Data Scientist, you will develop analytic tools for a team developing current and future user terminals. Your responsibilities include:

 * Develop statistical and analytical tool to enable the regression decision from on-orbit and lab measurement of user terminals
 * Publish documents and create compelling visualizations and presentations to communicate insights to stakeholders
 * Create and manage datasets for continued pre-training and supervised fine-tuning of LLMs
 * Develop scalable visualizations for analysis of user terminal performance
 * Work closely with constellation, RF, antenna, silicon, algorithm, and software engineers to root-cause the failures using data as the primary tool
 * Drive consensus on metrics and analysis approaches to support product development strategy

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

A day in the life
As a Data Scientist in the LEO Customer Terminal Team, you will work daily with satellite constellation, algorithm, RF, antenna, silicon, hardware, and software teams in a collaborative environment. Your focus will be using data as an intelligence source to enable design decisions for the team.

About the team
The LEO Customer Terminal team is responsible for developing both outdoor and indoor devices that enable customers to access internet service via the LEO satellite network. We own the entire process from early prototypes through mass production, including requirements documentation, architecture definition, hardware development, algorithm development, and all integration and verification testing.


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