Project Kuiper 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. 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 global demand forecast
• Lead measurement of customer preferences and behaviors related to different product offerings, price points, and promotions and integration of findings into Kuiper's Global Demand Forecasting models.
• Design and deliver modern, flexible, scalable economic models integrating data and assumptions from a variety of sources and systems, increasing forecast accuracy over time
• Define science roadmaps, models, and priorities for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions
• Synthesize and communicate economic 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.

- PhD in economics or equivalent
- Experience in analytics and applied economics
- Experience in building analytic or scientific data products or solutions
- Experience in building statistical models using R, Python, STATA, or a related software

- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods
- Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)
- Experience working with software developers and product managers
- Experience with structural demand modeling, subscription-based businesses, conjoint modeling and survey design

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 US 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.