Ph3Sr. Data Scientist, Amazon Leo Global Planning, Amazon Leo /h3 pAmazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. /p pDo you get excited by aerospace, space exploration, and/or satellites? Do you want to help build solutions at Amazon Leo to transform the space industry? If so, then we would love to talk! /p h3Key Job Responsibilities /h3 ul liWork cross-functionally with product, business development, and various technical teams (engineering, science, simulations, etc.) to execute on the long‑term vision, strategy, and architecture for the science‑based global demand forecast /li liDesign and deliver modern, flexible, scalable solutions to integrate data from a variety of sources and systems, increasing forecast accuracy over time /li liWork closely with the capacity planning science team to ensure that demand forecasts feed seamlessly into their systems to deliver continuous optimization of resources /li liLead short and long terms technical roadmap definition efforts to deliver solutions that meet business needs in pre‑launch, early‑launch, and mature business phases /li liSynthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Amazon Leo /li /ul pExport 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. /p h3About the Team /h3 pThe Amazon Leo Global Demand Planning team's mission is to map customer demand across space and time. We enable Amazon Leo's long‑term success by delivering actionable insights and scientific forecasts across geographies and customer segments to empower long range planning, capacity simulations, business strategy, and hardware manufacturing recommendations through scalable tools and durable mechanisms. /p h3Basic Qualifications /h3 ul li4+ years of data scientist experience /li li5+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience /li liExperience with statistical models e.g. multinomial logistic regression /li liExperience developing forecasting methodologies /li /ul h3Preferred Qualifications /h3 ul liMaster's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science /li liExperience managing data pipelines /li liExperience working with scientists, economists, software developers, or product managers /li li3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience /li liExperience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) /li liHands‑on experience in building machine learning or optimization models in a business environment using tools such as AWS SageMaker /li /ul pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p pOur 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. /p pOur compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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. /p /p #J-18808-Ljbffr