Data Scientist

Amazon Inc

Confirmed live today High trust

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $160k
$122k $228k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $135,000–$206,550 — 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 638 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

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 field failures, creating datasets for LLM pre-training and fine-tuning, and developing statistical tools to enable regression decisions from on-orbit and lab measurements. You will work with multi-disciplinary engineers to root-cause failures using data as a primary tool. Key requirements include proficiency in SQL, Python, R, SAS, or Matlab, along with experience in machine learning, statistical modeling, and data analysis. The work focuses on the technical development of outdoor and indoor devices for a low Earth orbit satellite network, specifically addressing hardware development, algorithm design, and performance analysis for global connectivity.

What does a Data Scientist earn in Washington?

Median $198000 from 42 postings across 15 companies.

See salary data

What you'll do

  • Develop 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.
  • Develop predictive models to proactively identify possible user terminal failures in the field.
  • 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.
  • Bachelor’s degree in electrical engineering, physics, mathematics, or an equivalent field.
  • 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software.
  • 3+ years of experience with machine learning/statistical modeling, data analysis tools, and techniques.
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
  • Experience conducting and documenting trade studies and design trades.
  • Master's or PhD degree in electrical engineering, physics, mathematics, or an equivalent field (preferred).
  • Export control laws and regulations, candidates.

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