Description

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE
We are seeking a Data Scientist to own our causal inference infrastructure and drive sophisticated modeling that measures the incremental impact of business decisions. This role requires deep expertise in advanced causal inference methodologies—including synthetic control methods, Synthetic Difference-in-Differences (SDID), and Bayesian approaches—to design rigorous experiments, estimate long-term customer behavior effects, and translate complex analytical results into clear business recommendations. You will own the development and continuous improvement of these causal inference models while being responsible for machine learning operations at scale to ensure our organization makes data-driven decisions with confidence.

At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impact. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in research to solve the business problems. You'll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. You will be at the heart of an agile and growing area at Audible.

ABOUT THE TEAM
Audible Data Scientists are members of a global interdisciplinary insights and research team with an integral role in the design and integration of models to automate decision making throughout the business in every country. We empower the machine learning and deep learning techniques in many areas of the business.

We translate business goals into agile, insightful analytics and seek to create value for both stakeholders and customers and convey findings in a clear, actionable way to managers and senior leaders.

As a Data Scientist, you will...
- Design and execute geo-level randomized experiments to measure incremental impact
- Apply statistical techniques to evaluate causal impact in quasi-experimental settings
- Ensure experiments are statistically valid by evaluating sampling strategies, statistical power, and potential sources of bias
- Develop models that estimate long-term effects from short-term experiments using machine learning
- Estimate how changes in customer behavior persist and decay over time
- Own and maintain the geo-testing codebase, including deployment and scalability
- Implement machine learning models at scale with focus on performance optimization
- Partner with stakeholders to ensure models align with real business dynamics
- Engage deeply with business problems through curiosity-driven questioning and brainstorming
- Translate experimental results into financial impact and investment recommendations
- Analyze marginal and average revenue impacts relative to costs
- Communicate complex quantitative ideas clearly to non-technical stakeholders
- Demonstrate understanding of Audible's business model and customer experience

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.