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Applied Scientist, Satellite Capacity Planning

Amazon

Roma

In loco

EUR 117.000 - 193.000

Tempo pieno

Oggi
Candidati tra i primi

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Descrizione del lavoro

A leading global tech company seeks an Applied Scientist to join the LEO Global Capacity Planning team. This position involves designing scalable solutions to optimize satellite resource planning. The ideal candidate will have a strong background in model building, programming (Java, C++, Python), and experience in algorithms and high-performance computing. Excellent communication skills are essential to drive insights across diverse teams in this innovative environment.

Servizi

Full range of medical benefits
Financial compensation package including equity

Competenze

  • 3+ years of building models for business application experience.
  • Experience in patents or publications at top-tier conferences.
  • Experience with algorithms, data structures, and high-performance computing.

Mansioni

  • Work cross-functionally with product and technical teams to implement strategies.
  • Design scalable solutions for satellite resource optimization.
  • Analyze data to identify simulation and optimization opportunities.

Conoscenze

Model building for business applications
Programming in Java, C++, or Python
Data mining
Numerical optimization

Formazione

PhD or Master’s degree in CS, CE, ML or related field

Strumenti

Unix/Linux
Descrizione del lavoro
A leading global tech company seeks an Applied Scientist to join the LEO Global Capacity Planning team. This position involves designing scalable solutions to optimize satellite resource planning. The ideal candidate will have a strong background in model building, programming (Java, C++, Python), and experience in algorithms and high-performance computing. Excellent communication skills are essential to drive insights across diverse teams in this innovative environment.
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