About the Role

The Data Scientist role at Audible involves tackling analytical problems in pricing, experimentation, and product optimization. You will develop data-driven solutions, build pipelines, and create visualizations to drive insights. This position requires translating business questions into quantitative frameworks and collaborating across teams.

Key Responsibilities

• Work with Product, Content, and Marketing partners to identify analytical problems and opportunities
• Develop descriptive analysis, modeling, and experimental approaches for actionable insights
• Build data pipelines and identify novel data sources for analytical work
• Create compelling data visualizations, presentations, and dashboards to drive adoption of insights
• Raise the bar for science and analytical work within Audible and Amazon

Required Skills & Qualifications

Must Have:

• Undergraduate degree in Statistics, Economics, Computer Science, Engineering, Applied Math, or related quantitative field
• 1+ year hands-on work experience in an applied/industry setting using SQL and Python or similar
• Experience working efficiently at scale with large data sets, constructing empirical analysis, modeling, and data visualizations
• Experience formulating and solving challenging optimization and/or measurement problems

Nice to Have:

• Graduate-level training in a quantitative field
• Experience working on cross-functional teams with product managers, marketers, and engineers
• Fluency in mathematical foundations of statistics, machine learning, and economics
• Experience using empirical methods for pricing, investment decisions, experimentation, or product optimizations in digital media
• Familiarity with financial/accounting metrics/methods
• Intellectual curiosity and strong desire to learn new tools and methods
• Ability to tackle loosely defined problems and deliver elegant, modular, scalable solutions

Benefits & Perks

• Medical benefits
• Financial benefits
• Other benefits as part of total compensation package