Applied Scientist
Core
Design, develop, and deploy Causal Inference and AIML solutions to optimize marketing channels, estimate customer lifetime value, and improve customer acquisition and engagement.
Role type
Senior Applied Scientist (Causal Inference & Marketing)
Builds
Scalable Causal Inference products and AIML models for marketing optimization
Domain
Consumer Technology / Marketing Analytics
Deliverable
production ML models
Required skills
Causal Inference techniques (diff-in-diff, synthetic control, propensity score matching), Marketing Mix modeling, Generative AI, Python, R, SQL, Spark, MLOps
Preferred skills
PhD in Statistics/Economics/ML, Generative AI for productivity, Business acumen
Technologies
Python, R, SQL, Java, C++, Spark, Docker, Cloud platforms
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