Audible is looking for Data Scientists to drive innovation in understanding the incremental impact and value of product features and marketing strategies. They need to implement test designs and evaluations of new product launches, promotions, and media campaigns to understand business impact across all sales channels.
Requirements
- 1+ years of hands-on experience with machine learning, predictive modeling, and/or statistical analysis techniques
- Development experience with Python or equivalent scripting languages
- Experience in extracting data using SQL
- Exposure to software engineering environments (version control, command line)
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with causal inference methodologies for quasi-experimental settings (Synthetic Control, Difference-in-Difference, Regression Discontinuity, Propensity weighting)
- Experience in forecasting methodologies
Responsibilities
- Analyze customer data for segmentation, clustering, acquisition, retention, engagement, and recommendations
- Perform content evaluation, apply natural language processing, analyze attributes and representations (in text, audio, cover art), generate content recommendations, and identify trends
- Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations
- Evaluate marketing performance across earned, paid, and owned media evaluation
- Implement test designs and evaluations of new product launches, promotions, and a mix of media campaigns
- Develop advanced scientific solutions
- Drive critical customer and business impacts
Other
- Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or another discipline involving experimental design and quantitative analysis of experimental data
- Ability to tackle very loosely defined problems and consistently deliver elegant, modular and scalable solutions in a timely manner
- Translate business goals into agile, insightful analytics
- Convey findings in a clear, actionable way to managers and senior leaders
- Work closely with our team members
