About this opportunity
Audible lists this Data Scientist opportunity in newark, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
We are seeking a data scientist builder 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 enjoy wearing many hats, possess an economist's mindset and a strong ability to effectively translate business questions into tractable quantitative frameworks, and excel at leveraging AI to build and scale robust, interpretable, and production-ready models/systems/tools. We're looking for someone who automates the repetitive, builds tools that force-multiply the team's output/influence, and treats AI as a core part of their workflow - not a side project.
If you are passionate about leveraging data to shape the future of digital media.
As a Data Scientist, you will...
Collaborate with economists, analysts, and other data scientists to build and scale econometric/ML models and quantitative tools - owning end-to-end scoping, data pipelining, feature engineering, model development/refinement, production-grade deployment, impact measurement, and adoption
Research and evaluate emerging tools and techniques (AI-driven and otherwise), and identify novel data sources to leverage in quantitative work – both from within Audible/Amazon and from 3P sources
Collaborate closely with Product, Content, and Marketing partners to drive broad impact and ensure that solutions are integrated into cross-functional workflows and executive decision-making
Represent the team in a range of settings - from reviews with senior Amazon scientists to reviews with senior Audible/Amazon business leaders
Mentor junior scientists and raise the bar for a new generation of scalable, AI-enabled 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.
Key job responsibilities
Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
2+ years hands-on work experience in an applied/industry setting using Python and SQL to work efficiently at scale with large data sets, constructing empirical analysis, modeling, and compelling data visualizations
Experience formulating and solving loosely-defined optimization and/or measurement problems
Familiarity with economic methods/reasoning - casual thinking, incentive design, counterfactual frameworks - and an eagerness to continue to learn new econometric methodologies
Intellectual curiosity for what drives customer value and business outcomesli>
Comfort leading ambiguous projects projects from zero-to-one
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Worksite address
newark, NJ, 07175, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.