Applied Scientist

Applied Scientist, Amazon Leo Capacity PlanningAmazon LEO is Amazon's low Earth orbit satellite network.Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks.From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.The Amazon LEO Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of LEO network resources worldwide.We are looking for a talented scientist to implement LEO's long-term vision and strategy for capacity simulations and inventory optimization.This effort will be instrumental in helping LEO execute on its business plans globally.As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results.Key Job ResponsibilitiesWork 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 term 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.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.Basic Qualifications3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPreferred QualificationsExperience using Unix/LinuxExperience in professional software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers.If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several U.S. geographic markets.The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market.Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.Amazon is a total compensation company.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.For more information, please visit .This position will remain posted until filled.Applicants should apply via our internal or external career site.#J-*****-Ljbffr