Grace Hopper 2022 Audible Full Time – Data Scientist – Content & Audience, Inc.
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  • Experience

    2-4 year
  • Salary

  • Location

    Newark, NJ, USA
  • Job Function

    Data Scientist
  • Industry

    Information Technology
  • Qualification

    Degree in Computer Engineering, Degree in Data Science, Degree in Statistics, Degree in Applied Mathematics

Key Skills

Java Programming, Design, Python Programming, SQL, AWS, Data science techniques, Data Modeling, Natural Language Processing (NLP), R Programming, Statistics, Algorithms, Mathematics, Terabyte scale datasets

Job Description

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.


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.


You have experience building rigorous ML models at scale for complex prediction and optimization problems.

As a Data Scientist, you will...

  • Work with our Content and Product organizations to identify key analytical problems and opportunities – your work is expected to be a key input to our future content strategy.
  • Develop, validate, scale, and maintain innovative models that deliver actionable insights.
  • Identify and source novel data to leverage in modeling work – both from within Audible/Amazon and from 3P sources.
  • Collaborate with other data scientists, analysts, economists, and engineers at Audible/Amazon to build data-driven solutions to key business problems.


  • Bachelor’s degree in Computer Science, Statistics, Data Science, Applied Mathematics, or related field.
  • 2+ years of experience (at least 1 year in industry) applying ML techniques to large datasets.
  • Programming languages/platforms: fluency in Python, R, SQL, Spark.
  • Experience working cross-functionally with analysts, engineers, product managers, etc.


  • Strong data presentation skills.
  • Passion for data (and fearlessness in the face of a data tsunami), modeling, research design and cutting-edges algorithms.
  • Ability to learn quickly and structure ambiguous problems.
  • MS or PhD in one of the above disciplines.
  • Background (or burgeoning interest!) in causal inference techniques and/or Natural Language Processing.
  • Experience with unsupervised learning problems (e.g., multidimensional clustering).
  • Domain knowledge of comparable products (digital, retail).
  • Experience with causal inference techniques, econometrics, and/or causal ML methods (e.g., double/debiased ML, causal random forest, etc.).
  • Experience presenting complex technical information to laypeople.
  • Experience with Scala.
  • Familiarity with AWS services.


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

Company Info., Inc., 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.

  • Industry
  • No. of Employees
  • Location
    Arlington, VA, USA; Seattle, WA, USA
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