About the Role

The Data Scientist role at Audible involves leveraging data-driven insights to shape digital media. Responsibilities include developing analytical solutions, building data pipelines, and collaborating with cross-functional teams. The position requires quantitative skills and experience with SQL and Python.

Key Responsibilities

• Work with partners to identify analytical problems and construct data-driven solutions
• 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 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 using SQL and Python with large data sets
• Experience constructing empirical analysis, modeling, and data visualizations
• Experience formulating and solving optimization and/or measurement problems

Nice to Have:

• Graduate-level training in a quantitative field
• Experience working on cross-functional teams with product managers and engineers
• Fluency in mathematical foundations of statistics, machine learning, and economics
• Experience using empirical methods for pricing, investment, experimentation, or product optimizations in digital media
• Familiarity with financial/accounting metrics/methods
• Intellectual curiosity and ability to tackle loosely defined problems

Benefits & Perks

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