Data Scientist

About the role

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, we encourage you to apply and be a part of our dynamic team.

Responsibilities

• 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

Basic Qualifications

• 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 outcomes
• Comfort leading ambiguous projects projects from zero-to-one

Preferred Qualifications

• Fluency in mathematical foundations of statistics, machine learning, and economics
• Experience applying econometric methods at scale (structural modeling, observational causal inference techniques, etc.) to inform pricing/sales optimizations, investment decisions, experimentation science, and/or product optimizations in the digital media space
• Experience with model monitoring, debugging, and long-term maintenance in production environments
• Familiarity with financial/accounting metrics/methods

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

Pay

USA, NJ