Data Scientist II, Music DISCO
Core
Develop and implement causal and predictive models to measure and optimize Amazon Music marketing activities, focusing on audience segmentation, AI-enablement in data reporting, and assessing randomized controlled trials.
Role type
Senior IC data scientist (marketing analytics & causal inference)
Builds
Marketing measurement frameworks, AI-enabled self-service analytics tools, and actionable insights for retention and subscriber growth.
Domain
Music streaming / Digital marketing / Causal inference
Deliverable
production ML models
Required skills
Causal inference, cohort analysis, statistical analysis, SQL, Python, R, machine learning modeling, randomized controlled trial design
Preferred skills
Experience with large technology companies, Perl
Technologies
SQL, Python, R, SAS, Matlab
Responsibilities
Build and validate causal and predictive models to quantify marketing program impact; Analyze large customer datasets to uncover patterns; Partner with stakeholders to deliver recommendations improving retention and ROI; Incorporate AI/ML into self-service analytics tools; Frame business questions and build analytical solutions across teams; Track emerging methods and maintain reproducible documentation.
