Sr. Economist, Demand Forecast, Project Kuiper Global Planning
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.BASIC QUALIFICATIONS- 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 ...