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Newark, New Jersey

Data Scientist

Global Insights & Data Science   |   Job ID  2122165
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JOB SUMMARY

Job summary
Good storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.

ABOUT THE 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!

ABOUT THIS ROLE
We are looking for motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in Machine Learning, Deep Learning, Natural Language Processing, data mining and/or large-scale distributed computation. 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
The Audible 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 Data Scientist, you will...
  • Develop and validate models to optimize the Who, When, Where and How of all our interactions with customers.
  • Work closely with other data scientists, ML experts, engineers as well as business across globe, 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.

BASIC QUALIFICATIONS

  • MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field.
  • Fluent in SQL, Python.

PREFERRED QUALIFICATIONS

  • 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+ year experience or PhD 1+ year experience.
  • Domain knowledge of comparable products (digital, retail).
  • Big Data Engineering with Spark / AWS EMR & Glue.

ABOUT AUDIBLE
At Audible, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading creator and provider of premium audio storytelling, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word. Audible offers a Hub+Home hybrid workplace model that gives employees flexibility between gathering in a common office space (work from hub) and remote work (work from home). Some teams will work mostly at hub, some mostly at home and others hybrid. For more information, please visit adbl.co/hybrid.


Audible is committed to a diverse and inclusive workplace. Audible 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.
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Audible Success Profile

Audible is built on a strong foundation as an Amazon subsidiary, so you’ll get to play with all of Amazon's technologies at a company with an entrepreneurial spirit. We’re looking for someone with a focus on our customers and our operational excellence to help us unleash the power of the spoken word.

    • Logical You have the ability to use logic to break down data in order to hear the story being told at it’s heart.
    • Insightful You take the time to deeply understand data before drawing conclusions, knowing that your decisions will improve the experience of millions of listeners.
    • Strategic You manage your instruments effectively and efficiently, always choosing the sharpest implement for the task at hand.
    • Adaptable You’re comfortable with both structure and ambiguity, moving seamlessly between the two to collaborate with diverse stakeholders.
    • Perceptive You’re able to utilize your natural intuition to identify creative solutions and innovate on behalf of our listeners.
    • Imaginative You approach every project with an open mind powered by voracious curiosity, and are able to find solutions that break the mold.

Audible's People Principles celebrate who we are and where we've been, and guide the way we work shoulder to shoulder to enhance the lives of our millions of customers around the world. They reflect and apply to everyone who works at Audible—the entrepreneurs and operators, the dreamers and the doers, those who have worked here for 20 years and those who have arrived in the past few weeks and months.

View All People Principles

What we can offer you

We are a community of brilliant minds, brimming with fresh ideas and working shoulder to shoulder to achieve greatness. And because of this, we think it’s only fair that we offer some nice little perks to everyone who goes the extra mile at Audible.

Learning & Development

We want to help you grow with learning and development programs, leadership training and tuition reimbursement.

Health

Dental and vision plans, life insurance, and the medical plan options that suit individual needs.

Savings

Plan for your future with employer-matched savings accounts.

Flexible Work

We promote flexibility in how and where we work with our Hub+Home hybrid workplace model.

Time Off

We love what we do but everyone needs the opportunity to hit the refresh button. Take advantage of vacation days, sick days, and personal days to rejuvenate.

Community

We are committed to building and sustaining a diverse and inclusive culture and community. Audible’s Impact Groups encourage an environment where you can be you, and bring your whole self to work.

Stock

We grant our employees restricted stock units, because we want them to think and act like owners.

Amazon Discount

As part of the Amazon family, Audible employees are entitled to a discount on products on Amazon.

Being a Data Scientist at Audible means impacting millions of customers every day—it's a meaningful and inspiring mission; to enrich customers’ lives with education, entertainment, and information.

Jiun Kim

Director, Data Science