Senior Data Scientist
Employment Information
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 make the best of your skillset to build scalable solutions and models to help optimize and improve paid and organic marketing efforts. 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 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 Senior Data Scientist, you will…
- Develop and validate models to optimize the Who, When, Where and How of all our interactions with customers
- Develop Amazon-scale data engineering pipelines
- Imagine and invent before the business asks, and create groundbreaking applications using cutting-edge approaches
- Develop compelling data visualizations
- Work closely with other data scientists, ML experts, engineers and on cross-disciplinary efforts with other scientists within Amazon
- Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from others
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. Our Hub+Home hybrid workplace model gives employees the 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
We are open to hiring candidates to work out of one of the following locations:
Cambridge, MA, USA | Culver City, CA, USA | Newark, NJ, USA
Basic Qualifications
- Modeling, research design experience
- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field
- 3 yrs relevant experience; or, PhD +1 yr relevant experience
- Fluent in SQL, Python
- Experience in Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Expereince in Big Data Engineering with Spark / AWS EMR & Glue
- Experience with Agile Software Development
Preferred Qualifications
- Domain knowledge and expertise of paid marketing, specifically in Paid Search and Organic Search
- Experience with Container Platforms (Docker, Kubernetes/Fargate)
- Experience with Streaming data processing
- Experience with R, RShiny, and Scala
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.
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