Data Scientist
San Francisco, California
USD 145K-215K (estimate) Senior-level Full Time
Tasks
- Apply causal machine learning methods
- Build production Python models
- Collaborate on data requirements and pipeline validation
- Communicate model methodology to stakeholders
- Design measurement and statistical frameworks
- Develop and deploy attribution models
- Lead technical design reviews
- Mentor junior data scientists
- Perform probabilistic record linkage
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Bayesian Inference | Causal Inference | Causal ML | Channel attribution | Counterfactual Modeling | Databricks | Difference-in-differences | Drift monitoring | Experimental Design | Feature Engineering | Gradient boosting | Heterogeneous treatment effects | Hierarchical models | Machine Learning | Meta learners | Model Deployment | Model Evaluation | Multi-Touch Attribution | Multi-channel attribution | Multi-touch) | Power analysis | Probabilistic record linkage | Propensity score | Propensity score modeling | PySpark | Python | Record Linkage | Regularized regression | Score modeling | Statistics | Uplift Modeling
Education
Roles
Regions
Countries
States
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