Project Kuiper is an initiative to increase global broadband access through a constellation of 3236 satellites in low Earth orbit (LEO). Its mission is to bring fast affordable broadband to unserved and underserved communities around the world. Project Kuiper 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.
Do you get excited by aerospace space exploration and/or satellites Do you want to help build solutions at Project Kuiper to transform the space industry If so then we would love to talk!
Key job responsibilities
Work 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
Design and deliver modern flexible scalable solutions to integrate data from a variety of sources and systems increasing forecast accuracy over time
Work closely with the capacity planning science team to ensure that demand forecasts feed seamlessly into their systems to deliver continuous optimization of resources.
Lead short and long terms technical roadmap definition efforts to deliver solutions that meet business needs in pre-launch early-launch and mature business phases
Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper.
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.
About the team
The Kuiper Global Demand Planning teams mission is to map customer demand across space and time. We enable Kuipers 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.
- 4 years of data scientist experience
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- Experience developing forecasting methodologies
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- Experience managing data pipelines
- Experience working with scientists economists software developers or product managers
- 3 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience in data applications using large scale distributed systems (e.g. EMR Spark Elasticsearch Hadoop Pig and Hive)
- Hands-on experience in building machine learning or optimization models in a business environment using tools such as AWS SageMaker
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/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.