Data Scientist

Amazon Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$136,000–$184,000 / yr
Posted
21 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $160k
$103k most similar roles pay here $218k

This role pays less than 59% of similar roles. Most pay $126,800–$192,037 — the shaded band above. At the midpoint, this role pays about $160k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 457 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 447 roles with salary data.

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View all roles at Amazon Inc

At a glance

TL;DR · Data Scientist

Data Scientist , Leo Customer Terminal will join the LEO Customer Terminal team to develop advanced analytics and machine learning solutions for user terminals. The role involves building predictive models to identify potential field failures, creating scalable visualizations for performance analysis, and managing datasets for the pre-training and fine-tuning of LLMs. Working in a multi-disciplinary environment alongside RF, antenna, silicon, and software engineers, the candidate will use data as a primary tool to root-cause issues and drive consensus on metrics for product development. Required skills include proficiency in SQL, Python, R, SAS, or Matlab, along with experience in statistical modeling, trade studies, and quantitative analysis. The role focuses on solving technical challenges related to hardware and software integration for devices providing internet access via a low Earth orbit satellite network.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Develop predictive models to identify potential user terminal failures in the field.
  • Create statistical and analytical tools to support regression decisions from on-orbit and lab measurements.
  • Manage datasets for the pre-training and supervised fine-tuning of Large Language Models (LLMs).
  • Build scalable visualizations to analyze and communicate user terminal performance data.
  • Use data as a primary tool to root-cause hardware and software failures with engineering teams.
  • Drive consensus on metrics and analysis approaches to support product development strategy.

What we're looking for

  • Must be a U.S. citizen, national, permanent resident, or granted asylum/refugee status for export control compliance.
  • Master's degree in a STEM field or equivalent professional experience in STEM fields.
  • 3+ years of experience with data querying languages (SQL), scripting languages (Python), or statistical software (R, SAS, Matlab).
  • 3+ years of experience with machine learning and statistical modeling tools, techniques, and performance parameters.
  • Experience applying theoretical models in an applied environment.
  • Experience conducting and documenting trade studies and design trades.
  • Strong analytical, problem-solving, and communication skills to work in a team and deliver results.
  • Ph.D. in STEM (preferred); experience with GenAI benchmarks, large tech company roles, or cross-disciplinary projects (preferred).

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