Data Scientist, LEO Satellite Analytics

Amazon Inc.

Seattle (WA)

Hybrid

USD 136,000 - 184,000

Full time

14 days+

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Benefits offered by this job

RSUs
Health insurance
401(k) matching

Job summary

Amazon Kuiper Manufacturing Enterprises LLC is seeking a Data Scientist to develop advanced analytics and ML solutions for user terminals. You will build predictive models to identify potential failures in the field and collaborate with constellation, RF, antenna, silicon, algorithm, and software engineers to drive data-driven decisions.

You will work in a multidisciplinary environment, owning data pipelines, developing visualizations, and communicating insights to stakeholders.

Qualifications

  • Experience with SQL and an RDBMS or Data Warehouse.
  • Bachelor’s degree in electrical engineering, physics, mathematics, or equivalent.
  • 3+ years of data querying languages (SQL), scripting languages (Python) or statistical software (R, SAS, Matlab).
  • 3+ years of experience with machine learning/statistical modeling and data analysis tools.
  • Experience conducting and documenting trade studies and design trades.

Responsibilities

  • Develop statistical and analytical tools for regression decisions from on-orbit and lab measurements of user terminals.
  • Publish documents and create visualizations 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.
  • Collaborate with engineering teams to root-cause failures using data.

Skills

SQL
Python
ML modeling
Data analysis

Education

Bachelor's in electrical engineering, physics, mathematics, or equivalent
Master's or PhD in electrical engineering, physics, mathematics, or equivalent

Tools

Oracle
SAS

Job description

Amazon Kuiper Manufacturing Enterprises LLC is seeking a Data Scientist to develop advanced analytics and ML solutions for user terminals. You will build predictive models to identify potential failures in the field and collaborate with constellation, RF, antenna, silicon, algorithm, and software engineers to drive data-driven decisions.

You will work in a multidisciplinary environment, owning data pipelines, developing visualizations, and communicating insights to stakeholders.

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