Amazon

Data Scientist

Newark, NJ US
Spark AWS Machine Learning Deep Learning Scala Python R SQL
Description
- MS in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field; or, BS 3+ years experience
- Experience using Scala, Python or R, SQL and Spark to work efficiently at scale with large data sets
- 3+ years of working experience
- Fluency in English, both written and spoken
- Experience formulating and solving challenging optimization problems
- Passion for data (and fearlessness in the face of a data tsunami), modeling, research design and cutting-edges algorithms
- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field and 3+ years experience or a PhD 1+ years
- Domain knowledge of comparable products (digital, retail)
- Big Data Engineering with Spark / AWS EMR & Glue

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.
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
Hey – there’s a revolution going on! A revolution in digital entertainment. Every day millions of people around the world choose to be more thoughtfully entertained, informed and educated by listening to fascinating stories and all forms of fictional and non-fictional content. Want to shape the future of this innovation through statistics and machine learning? If so, this may be a great fit for you! In this role, you will make the best of your skillset in predictive modeling to 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 will 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 customer interactions
- Collaborate with cross-functional teams and experts to drive impactful outcomes
- Contribute to the growth of the Audible Data Science team through knowledge sharing
- Build scalable data engineering pipelines
- Drive innovation by proactively creating groundbreaking applications
- Create compelling data visualizations
- Build end-to-end analytical products at scale and speed, from ideation to stakeholder presentation

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.

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