Applied Scientist, Amazon Leo Capacity Planning jobs in United States
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Amazon · 17 hours ago

Applied Scientist, Amazon Leo Capacity Planning

Amazon is a leading company focused on delivering fast, reliable internet connectivity through its low Earth orbit satellite network, Amazon LEO. The role of Applied Scientist involves designing and implementing systems for capacity simulations and inventory optimization to support the global management of LEO network resources.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization
Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources
Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network
Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other
Analyze large amounts of satellite and business data to identify simulation and optimization opportunities
Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across LEO

Qualification

Model buildingProgramming in JavaC++PythonAlgorithmsData structuresNumerical optimizationData miningParallelDistributed computingHigh-performance computingUnix/LinuxProfessional software developmentPatentsPublications

Required

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum

Preferred

Experience using Unix/Linux
Experience in professional software development

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase