Data Scientist
Tasks
- Apply causal inference techniques
- Apply reinforcement learning for optimization
- Contribute to experimentation frameworks
- Design predictive and decisioning models
- Develop and validate models with customers
- Embed models into scalable real time systems
- Evaluate test and deploy data science models
- Implement contextual multi armed bandits
- Implement uplift modeling and closed loop optimization
- Productionize predictive and decisioning models
- Translate business goals into modeling strategies
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Contextual Multi-armed Bandits | Counterfactual analysis | Databricks | Experimental Methods | Feature Store | Machine Learning | Multi-Armed Bandits | ONNX | Python | Quasi Experimental | Quasi-experimental methods | Recommendation Algorithms | Reinforcement Learning | Scikit-learn | Snowflake | Uplift Modeling | XGBoost
Education
N/A
Roles
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