Senior Economist

Senior EconomistGood storytelling starts with great listening. At Audible, that means each role and project has our audience in mind. Because the same people who design, develop and deploy our products also happen to use them. To us, that speaks volumes.Audible is searching for an exceptional Senior Economist to join our economics team. The Audible economics organization works across the business to measure and maximize the value Audible delivers to customers, creators, and communities globally. In this role, there will be a focus on partnering with our product teams to create and measure new ways for customers to access our catalog of audiobooks and spoken-word entertainment, develop new mechanisms to generate value for creators, and optimize content distribution and monetization. The Senior Economist will be a key technical leader for our staff economists and data scientists, and will also collaborate closely with scientists across Audible and partner teams at Amazon on problems pertinent to subscription businesses and the production, distribution, and monetization of media content.You have expertise at the intersection of economic theory and applied econometrics, with a keen business acumen and hands-on experience. You can distill exceptionally complex problems to their essence, and find ways to solve them to drive new value for our customers.As a Senior Economist you will:Work with Audible's product and insights leadership team to identify key analytical problems and opportunities fit for economics to tackleContribute meaningfully to our long-term product strategy, and inform content and growth strategyGuide our scientists to develop and maintain scalable, innovative econometric, data science and machine learning models that deliver actionable insights and results, with major conceptual or empirical contributions of your ownBe a regular author of publications at internal and external science conferences and journalsCollaborate with business and science teams across Audible and Amazon digital businesses to build data-driven solutions to key business problemsAt Audible, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading creator and provider of premium audio storytelling, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word. Audible offers a Hub+Home hybrid workplace model that gives employees flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.Basic qualifications:PhD in economics or equivalent3+ years of industry experience post-PhDFluent in mathematical foundations of statistics, machine learning, and economicsExperience delivering meaningful business impact for customers based on rigorous quantitative analysisPreferred qualifications:Knowledge of causal ML methods, such as high-dimensional models, double/debiased ML, causal random forest, matrix completion methodsA record of research publication in journals or speaking at conferences in an economic field such as Industrial Organization, Mechanism Design, or Applied Microeconomics2+ years of experience in using economics, data science and ML to inform pricing, investment, development, or distribution of digital media content2+ years of experience working with cross functional teams, including with product managers, software and data engineers, or financial analystsAudible is committed to a diverse and inclusive workplace. Audible 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.