Alembic is an applied science company solving marketing's hardest problem: proving what actually works. We're looking for an Applied Scientist who solves hard mathematical problems in marketing attribution through algorithmic innovation and production-quality implementation.
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
- Causal inference expertise - practical experience applying causal methods to real problems
- Data-intensive systems - experience processing and analyzing large datasets
- Research to production - track record of turning research ideas into shipping features
- Communication skills - can explain complex technical concepts to varied audiences
- MS or PhD with significant applied research experience
- Background in econometrics, statistics, or computational social science
- Experience in marketing analytics, A/B testing, or measurement domains
- Understanding of ML engineering and MLOps practices
- Ability to work directly with customers on technical problems
- Experience with both Bayesian and frequentist statistical methods
Benefits
- Early-stage equity opportunity
- Cutting-edge technology
- Elite team
- Hard problems with real impact