ABOUT THIS ROLE
In this role, you will build scalable solutions and models to support our business functions (Content, Marketing, Product). Leveraging a range of methods including machine learning and simulation, you will explain, quantify, predict and prescribe in support of informing critical business decisions. You will translate business goals into agile, insightful analytics. You will seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders.
ABOUT THE TEAM
Audible's Data Science team partners with marketing, content, product, and technology partners to solve business and technology problems using scientific approaches to build product and services that surprise and delight our customers. We employ scalable cutting-edge Data Science (DS), machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience. We operate in an agile environment in which we own and collaborate on the life cycle of research, design, and model development of relevant projects.
As a Data Scientist, you will...
- Develop and validate models to optimize the Who, When, Where and How of all our interactions with customers
- Develop Audible-wide data engineering pipelines
- Imagine and invent before the business asks, and create groundbreaking applications using cutting-edge approaches
- Open the Science black-box, use causal inference and develop compelling data visualizations
- Work closely with other data scientists, ML experts, engineers and on cross-disciplinary efforts with other scientists within Amazon
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.
BASIC QUALIFICATIONS
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- 3+ years relevant experience; or, PhD 1+ year relevant experience
- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Mathematics, Operational Research or a related quantitative field
- Experience in modeling, research design
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon 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 would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.