Data Scientist - 24-Month Contract, SAMBA

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

In this role, you will build scalable solutions and models to support our business functions (Content, Marketing, Product). Leveraging methods including machine learning and simulation, you will explain, quantify, predict, and prescribe to support critical business decisions. You will translate business goals into agile, insightful analytics, creating value for stakeholders and customers, and communicating findings clearly to managers and senior leaders.

This position is for a 24-month contract.

ABOUT THE TEAM

Audible's Data Science team collaborates with marketing, content, product, and technology teams to solve business and technical problems using scientific approaches. We employ scalable Data Science (DS), machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to enhance customer targeting, content understanding, personalization, and the overall listening experience. We work in an agile environment, managing the research, design, and development lifecycle of relevant projects.

As a Data Scientist, you will...

1. Develop and validate models to optimize customer interactions (Who, When, Where, How).
2. Build Audible-wide data engineering pipelines.
3. Innovate proactively, creating groundbreaking applications using cutting-edge approaches.
4. Utilize causal inference and develop compelling data visualizations to explain findings.
5. Collaborate closely with data scientists, ML experts, engineers, and cross-disciplinary teams within Amazon.

ABOUT AUDIBLE

Audible is the leading producer and provider of audio storytelling, offering immersive and cinematic experiences that inspire and inform our customers daily. As a global company with an entrepreneurial spirit, we are passionate about making a positive impact. Our culture fosters creativity and inclusion, guided by our People Principles and commitment to building equitable communities in our cities.

Minimum Requirements

• Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab).
• Experience with machine learning and statistical modeling, including understanding parameters affecting performance.
• MS in Computer Science, Statistics, Data Science, Economics, Applied Mathematics, Operational Research, or a related quantitative field.
• Experience in modeling and research design.