Data Scientist
Core
Apply causal inference and statistical methods to inform pricing, segmentation, and revenue optimization decisions for creator monetization products.
Role type
Senior IC data scientist (causal inference & experimentation)
Builds
Monetization products (Subscriptions, Bits, Gifting) and pricing/packaging strategies
Domain
Live streaming / Gaming / Creator economy
Deliverable
product features
Required skills
Causal inference, A/B test design, Quasi-experimental methods, SQL, Python or R, Statistical modeling, Revenue optimization, Segmentation analysis, Experimentation design
Preferred skills
Double ML, Causal forests, Heterogeneous treatment effects, Airflow, SageMaker, Production ML deployment
Responsibilities
Apply causal inference methods where experimentation isn't feasible, Develop models and analyses that inform pricing, segmentation, and revenue optimization, Design, run, and analyze A/B experiments, Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks, Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making
Seniority
Senior, hands-on IC
