Data Scientist

Amazon Inc

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Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $136,000–$184,000 / yr
Posted: 67 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $160k

$120k $226k

below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $143,562–$197,750 — the blue band above. At the midpoint, this role pays about $160k versus about $171k 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 643 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 636 roles with salary data.

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At a glance

TL;DR · Data Scientist

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Data Scientist , Leo Customer Terminal joins the LEO Customer Terminal team to develop advanced analytics and machine learning solutions for user terminals. This role involves building predictive models to identify field failures and creating statistical tools to enable regression decisions from on-orbit and lab measurements. You will manage datasets for pre-training and fine-tuning LLMs, develop scalable visualizations for performance analysis, and communicate insights to stakeholders. The position requires proficiency in SQL, Python, R, SAS, or Matlab, along with experience in statistical modeling and machine learning. You will collaborate with constellation, RF, antenna, silicon, algorithm, and software engineers to root-cause failures. The work focuses on the technical development of outdoor and indoor devices that provide internet service via a low Earth orbit satellite network.

What does a Data Scientist earn in Washington?

Median $212000 from 33 postings across 16 companies.

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Skills

Python SQL R SAS Matlab Machine Learning LLMs GenAI Statistical Modeling Perl Quantitative Analysis Supervised Fine-Tuning Data Querying

What you'll do

Develop predictive models to proactively identify possible user terminal failures in the field.
Create statistical and analytical tools to enable regression decisions from on-orbit and lab measurements.
Create and manage datasets for the pre-training and supervised fine-tuning of LLMs.
Develop scalable visualizations to analyze user terminal performance.
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.
Publish documents and create visualizations to communicate data insights to stakeholders.

What we're looking for

Must be a U.S. citizen, national, permanent resident, refugee, or granted asylum.
Master's degree in a STEM field or equivalent professional experience in STEM.
3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software.
3+ years of experience with machine learning/statistical modeling tools and techniques.
Experience applying theoretical models in an applied environment.
Experience conducting and documenting trade studies and design trades.
Strong analytical, problem-solving, and communication skills.
Export control laws and regulations, candidates.

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