Principal Data Scientist - RPL
Tasks
- Build uplift models with offline evaluation
- Design experiment and quasi experiment methods
- Formulate and solve budget constrained allocation
- Lead causal modeling for promotion optimization
- Mentor data science team and set technical standards
- Partner with business to translate model outputs into decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Bandits | Causal Inference | Causal ML | Causal forests | Constrained optimization | Deep Uplift | Difference-in-differences | Experiment design | Heterogeneous treatment effects | Instrumental Variables | Lagrangian Optimization | MILP | Meta learners | Off Policy | Off-policy evaluation | Policy Evaluation | Propensity score | Python | Quasi Experiment | Reinforcement Learning | SQL | Synthetic control | Uplift Modeling
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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