Senior Economist

Good 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.

ABOUT THIS ROLE
Audible is searching for an exceptional Senior Economist to join our marketing science team. The Audible marketing science organization works across the business to measure and maximize the value Audible delivers to customers. In this role, there will be a focus on partnering with cross-functional teams across Audible and Amazon to develop causal measurement frameworks that measure the impact of our brand and performance campaigns and customers cohorts in an incremental, long term, full-funnel, actionable way. The Senior Economist will be a key technical leader in a team that includes a large number of scientists, machine learning engineers, researchers and analysts, and will also collaborate closely with scientists across Audible and partner teams at Amazon.

ABOUT YOU
You have expertise at the intersection of economic theory and applied econometrics, with a keen business acumen and hands-on experience, if possible in marketing-related problems. You can distill exceptionally complex problems to their essence, and find ways to solve them to drive new value for our customers.

As Senior Economist you will...

• Work on counterfactual and causal modeling models to measure the incremental, long term, full-funnel impact of our marketing campaigns and product launches in a rigorous way that raises the bar not only for Audible, but at the Amazon level
• Work on models that can provide insights on complex interactions between channels and strategies, for example (but not limited to) machine learning attribution, marketing mix modeling, or structural equations models (the latter to model the impact of brand on our bottom line)
• Work on the design, supervision and measurement of perfectly built random control experiments to help train and validate your models
• Carve out you own area of high value-adding contributions and research with Audible’s marketing, product and insights leadership team to identify key analytical problems and opportunities fit for economics to tackle
• Contribute meaningfully to our long-term product, marketing and growth strategy
• Guide our scientists and engineers 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 own
• Be a regular author of publications at internal science conferences and journals

ABOUT AUDIBLE
At 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). Some teams will work mostly at hub, some mostly at home and others hybrid. For more information, please visit adbl.co/hybrid.

Basic Qualifications

• PhD in economics or equivalent
• 3+ years of industry experience post-PhD
• Fluent in mathematical foundations of statistics, machine learning, and economics
• Experience delivering meaningful business impact for customers based on rigorous quantitative analysis

Preferred Qualifications

• Knowledge of causal ML methods, such as high-dimensional models, double/debiased ML, causal random forest, matrix completion methods
• A record of research publication in journals or speaking at conferences in an economic field such as Industrial Organization, Mechanism Design, or Applied Microeconomics
• 2+ years of experience in using economics, data science and ML to inform pricing, investment, development, or distribution of digital media content
• 2+ years of experience working with cross functional teams, including with product managers, software and data engineers, or financial analysts

Audible 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. For individuals with disabilities who