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Newark, New Jersey

Senior Data Scientist

Global Insights & Data Science   |   Job ID  2703322
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Job Summary

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
As Senior Data Scientist, you will build scalable solutions and models to support our business functions (Marketing, Product, Content). 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 data science team partners with marketing, content, product, and technology teams 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), causal inference (CI) and GenAI / 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.

ABOUT YOU
We are looking for a motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in ML, CI, NLP, data mining and/or large-scale distributed computation.

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 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

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

- Modeling, research design experience and exposure to cutting-edge algorithms
- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field and 6+ years relevant experience; or, PhD and 3+ years relevant experience
- Experience with methods for causal inference using longitudinal data and more generally (panel, regression, diff-in-diff, etc.)
- Fluency in English, both written and spoken
- Fluent in SQL, Python
- Exposure to software engineering environments (version control, command line...)
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions)
- Experience with Docker Container Platform
- Experience with machine learning methods for Bayesian estimation and inference
- Experience with Agile Software Development

Preferred Qualifications

- Domain knowledge of comparable products (marketing, 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.
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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 while still being on a small team with an entrepreneurial spirit. We’re looking for someone who knows how to leverage data to provide our customers with an engaging and inspiring experiences.

    • 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.

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.

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Imagine & Invent Before They Ask

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Study & Draw Inspiration From Culture & Technology

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Activate Caring

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 25 years and those who have arrived in the past few weeks and months.

View all Our People Principles
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Community Impact

At Audible, we seek to exemplify what a company can mean beyond what it does. We recruit and cultivate local talent, and we drive forward a wide range of initiatives focused on returning Newark to its roots as a hub of innovation. Our global offices embrace the same principle, and our employees around the world volunteer and serve in their communities in addition to seeding and growing the local creative economy.

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Location Benefits

Our Newark office is at the heart of the audio revolution. We stay inspired by visiting creatives, guest speakers, professional development, and community engagement. We fuel our ideas with daily catered lunch and then take in local culture or hang out with colleagues at weekly happy hours. Getting here is easy with free parking or transit perks, and employees who move to the neighborhood enjoy our monthly Live Local housing subsidy.

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