Data Scientist

Audible; Newark (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Audible is seeking a Data Scientist to join the economics team. You will build econometric and ML models, design data pipelines, and deploy production-grade analytics that inform pricing, experimentation, product strategy, and ROI across our global listener base.

You will collaborate with economists, analysts, and product partners to translate complex business questions into scalable quantitative solutions, exploring cutting-edge AI tools and mentoring junior scientists to raise the team’s

Qualifications

• 2+ years hands-on work experience in applied data science with Python/SQL
• Experience building econometric/ML models and data pipelines
• Strong ability to translate business questions into quantitative work

Responsibilities

• Build and scale econometric/ML models and tools end-to-end
• Evaluate emerging AI tools and data sources for quantitative work
• Collaborate with product/marketing to drive cross-functional impact
• Mentor junior scientists and raise analytical standards
• Lead projects from concept to deployment in ambiguous contexts

Skills

Python

SQL

Econometrics

Machine Learning

Data Visualization

Big Data

Education

Advanced degree in computer science, mathematics, statistics, ML or equivalent

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