Senior Data Scientist
Tasks
- Apply causal inference for marketing and product measurement
- Co design MLOps for feature store experimentation monitoring
- Design and oversee complex experiments
- Drive uplift modeling and long term value prediction
- Lead development of predictive and prescriptive models
- Partner with business leaders to identify deployment opportunities
- Publish technical best practices and reusable frameworks
- Research adapt methods for hard problems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQueryML | Causal Inference | Experimentation | Feature Engineering | Incrementality | LTV modeling | Linear Regression | Logistic Regression | MLOps | Model Governance | Model Monitoring | Multivariate Testing | Optimization Algorithms | Propensity Modeling | PyTorch | Python | ROI modeling | SQL | SageMaker | Scikit-learn | Series analysis | TensorFlow | Time Series | Time Series Analysis | Vertex AI | XGBoost
Education
Roles
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