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Applied Scientist (Code-First)

AlembicCausal AI, company
San Francisco, United StatesSenior
Data & AI
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About the role

Solves hard mathematical problems in marketing attribution through algorithmic innovation and production-quality implementation.

  • We're looking for an Applied Scientist who solves hard mathematical problems in marketing attribution through both algorithmic innovation and production-quality implementation.
  • Key Responsibilities Design and implement novel approaches to marketing measurement problems, shipping working code Build production systems for causal inference that maintain statistical rigor at enterprise scale Develop algorithms that are both mathematically sound and computationally efficient Requirements 5+ years developing and shipping research code in production environments Strong mathematical background
  • statistics, probability, optimization, causal inference Proficient Python developer
  • can write production-quality code, not just notebooks

Tech stack

Python

Match insights

Tech:Python
Level:Senior