Amazon

Data Scientist , Leo Customer Terminal

Full-time3+ yrsRedmond, Washington, USANot disclosedApply by 19 Oct 2026
Apply now
WA

Overview

At Amazon, we’re inventing on behalf of customers, and with Amazon Leo, we’re redefining what global connectivity looks like. Our mission is to deliver fast, affordable broadband to unserved and underserved At Amazon, we’re inventing on behalf of customers, and with Amazon Leo, we’re redefining what global connectivity looks like. Our mission is to deliver fast, affordable broadband to unserved and underserved commun

What you'll do

  • At Amazon, we’re inventing on behalf of customers, and with Amazon Leo, we’re redefining what global connectivity looks like.
  • Our mission is to deliver fast, affordable broadband to unserved and underserved At Amazon, we’re inventing on behalf of customers, and with Amazon Leo, we’re redefining what global connectivity looks like.
  • Our mission is to deliver fast, affordable broadband to unserved and underserved communities around the world through a constellation of low Earth orbit (LEO) satellites.
  • Every system we build helps connect people to education, healthcare, opportunity, and each other.
  • 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.
  • Key job responsibilities 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.

Requirements

  • Practical experience with Python, Go, AWS, LLM.
  • Experience level: 3+ yrs.
  • Strong written and verbal communication in English.
  • Comfortable working on-site in Redmond, Washington, USA.

Skills

PythonGoAWSLLMMachine LearningScala

Related roles