Data Scientist
Core
Apply causal inference methods and design A/B experiments to inform pricing, segmentation, and revenue optimization for creator monetization products.
Role type
Senior IC data scientist (causal inference & experimentation)
Builds
Monetization products (Subscriptions, Bits, Gifting) and pricing/packaging decisions
Domain
Live streaming, gaming, entertainment, consumer payments
Deliverable
production ML models | dashboards & analysis
Required skills
causal inference, A/B testing design, SQL, statistical analysis, pricing strategy, segmentation, revenue optimization
Preferred skills
double ML, causal forests, heterogeneous treatment effects, Airflow, SageMaker, production ML deployment
Technologies
SQL, Airflow, SageMaker
Responsibilities
Apply causal inference where experimentation isn't feasible, Develop models and analyses for pricing and revenue optimization, Design and analyze A/B experiments, Partner with product and finance to translate business questions into measurement frameworks, Build and maintain dashboards and analytical tooling
Seniority
Senior, hands-on IC
