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
We are seeking a talented data scientist to join the Audible economics team. Our group of economists, data scientists, and analysts tackles a wide range of questions, including pricing, experimentation science, data-driven product strategy/optimizations, internal productivity/incentives, audience science, and impact/ROI measurement. The ideal candidate will excel at (and enjoy) wearing many hats, and be able to effectively translate business questions into tractable quantitative frameworks, dive deep into data for analytical insights, and represent the team in a range of settings - from reviews with senior Amazon scientists to reviews with senior Audible/Amazon business leaders. If you are passionate about leveraging data-driven insights to shape the future of digital media, we encourage you to apply and be a part of our dynamic team.
As a Data Scientist, you will....
- Work with Product, Content, and Marketing partners to identify key analytical problems and opportunities, and collaborate with other data scientists, economists, and analysts to construct data-driven solutions
- Develop innovative descriptive analysis, modeling, and experimental approaches to drive actionable insights
- Build data pipelines, and identify novel data sources to leverage in analytical work – both from within Audible/Amazon and from 3P sources
- Force multiply the work of the team with compelling data visualizations, presentations, and/or dashboards to drive awareness and adoption of data assets/products/insights
- Raise the bar for science/analytical work, both within Audible and across the broader Amazon community
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.- Undergraduate degree in: Statistics, Economics, Computer Science, Engineering, Applied Math, or a similar/related quantitative field
- 1+ year hands-on work experience in an applied/industry setting using SQL and Python, or similar, to work efficiently at scale with large data sets, constructing empirical analysis, modeling, and compelling data visualizations
- Experience formulating and solving challenging optimization and/or measurement problems- Graduate-level training in one of the above mentioned fields
- Experience working on a cross functional team, including product managers, marketers, and software/data engineers
- Fluency in mathematical foundations of statistics, machine learning, and economics
- Experience using empirical methods to inform pricing, investment decisions, experimentation science, and/or product optimizations in the digital media space
- Familiarity with financial/accounting metrics/methods
- Intellectual curiosity for what drives the business and strong desire to continue to learn new tools and empirical methods
- Ability to tackle very loosely defined problems and consistently deliver elegant, modular, and scalable solutions in a timely manner
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
