Senior Data Scientist - Agentic AI products
United States of America Minnesota (remote)
R
USD 128K-185K (estimate) Senior-level Full Time
Tasks
- Align feature store standards with data platform teams
- Apply causal inference methods to estimate causal effects
- Build evaluation frameworks for retrieval quality and factual accuracy
- Build labeled datasets from operational data sources
- Build validate and maintain predictive models for agent tools
- Define feature engineering strategies for structured event and unstructured data
- Design measurement frameworks for responsible AI performance
- Own data pipelines for retrieval augmented generation knowledge bases
- Perform statistical evaluation using hypothesis testing cross validation and confidence intervals
- Support reliable agent tool integration
- Translate domain use cases into ML problem statements
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Bayesian Methods | Causal Inference | Classification | Confidence Intervals | Cross-validation | Difference-in-differences | Feature Engineering | Feature Store | Forecasting | GCP | Hypothesis Testing | Pandas | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Series modeling | Synthetic controls | Time Series | Time Series Modeling | Uncertainty Quantification
Education
Roles
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