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. The Sr. Economist, Kuiper Marketing, will lead the development of state-of-the-art, scalable models to measure the effectiveness and efficiency of marketing. In this critical role, you will leverage your deep expertise in causal inference to design and implement robust measurement frameworks that provide actionable insights to drive strategic business decisions. The right person in this role will be able to deal with ambiguity and take the lead in defining frameworks where no prior examples exist. They will be an ambitious self-starter with ability to operate independently and thrive in a fast-paced environment. Demonstrated ability and willingness to roll up sleeves and execute to get the job done will be key to success in the role. The successful candidate will have: - Experience applying causal inference and marketing science techniques, such as econometrics, machine learning, and randomized experiments. - Proven track record of developing and implementing sophisticated, scalable models to measure marketing effectiveness and attribution. - Expertise in programming languages (e.g., R, Python) and proficiency in working with large, complex datasets. - Strong problem-solving skills, ability to think critically, and a keen eye for detail. - Excellent communication and presentation skills, with the ability to translate technical analyses into actionable business insights. - Experience in a fast-paced, data-driven environment, with the flexibility to adapt to changing business needs. Key job responsibilities - Collaborate cross-functionally with marketing and commercial teams to define the measurement strategy and ensure alignment on objectives. - Leverage large, complex datasets to uncover hidden patterns and trends, extracting meaningful insights that inform marketing optimization and investment decisions. - Develop advanced econometric and machine learning models to rigorously evaluate the causal incremental impact of marketing campaigns on customer perceptions and behaviors. - Work with engineers and data scientists to automate models in a production environment. - Stay up-to-date with the latest research and methodological advancements in causal inference and machine learning to continuously enhance the team's capabilities. - Effectively communicate analysis findings, recommendations, and their business implications to key stakeholders, including senior leadership. - Mentor and guide scientists and engineers fostering a culture of analytical excellence and innovation. 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.
June 22, 2023Kanoria and coauthors honored for their paper narrowing the gap between theoretical understanding and practical experience in matching markets.
