Sr Principal Data Scientist
Tasks
- Architect agentic AI sub agent systems
- Define modeling experimentation and evaluation standards
- Design and deliver machine learning models
- Drive data foundation feature engineering and knowledge layer decisions
- Ensure privacy governance and trust
- Lead applied machine learning direction
- Mentor senior data scientists
Perks/Benefits
- Employee assistance program
- Flexible work arrangements
- Health insurance
- Hybrid work
- Learning and development
- Remote work
- Wellness programs
Skills/Tech-stack
A/B | A/B Testing | Agentic AI | B testing | Causal Inference | Contextual Bandits | Data Pipelines | Databricks | Deep learning | Drift Detection | Embeddings | Experimental Methods | Gradient boosting | Linear Models | Machine Learning | Model Monitoring | Multi-step reasoning | PyTorch | Python | Quasi Experimental | Quasi-experimental methods | Retraining | Retrieval-Augmented Generation | SQL | Snowflake | Spark | Tool use | Transformers | Uplift Modeling
Education
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