Java Programming, Design, Python Programming, SQL, AWS, Data science techniques, Data Modeling, Natural Language Processing (NLP), R Programming, Statistics, Algorithms, Mathematics, Terabyte scale datasets
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 THIS ROLE
Audible seeks an exceptional data scientist to work on modeling at the intersection of audience and content strategy. As a Data Scientist at Audible, you will work to help partner teams in Content, Product, and Marketing better understand our audience and create optimized strategies for content investment, distribution, marketing, and discovery – driving value for both customers and the business.
Please apply directly to this role if you have networked with us directly at Grace Hopper 2022 or attended one of our Grace Hopper events. If you are interested in one of our other Data Scientist roles, please continue forward within our career site.
ABOUT YOU
You have experience building rigorous ML models at scale for complex prediction and optimization problems.
As a Data Scientist, you will...
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
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.
Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.
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New York, NY, USA
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