Senior Data Scientist
United States of America Milwaukee (South 2nd Street)
USD 130K-195K (estimate) Senior-level Full Time
Tasks
- Align on feature store standards
- Apply causal inference techniques
- Apply hypothesis testing
- Build data pipelines for retrieval augmented generation
- Build labeled datasets
- Collaborate on ML problem statements
- Define feature engineering strategies
- Design measurement frameworks
- Develop predictive models
- Develop retrieval evaluation frameworks
- Estimate confidence intervals
- Measure retrieval quality and factual accuracy
- Perform cross-validation
- Validate and maintain predictive models
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Bayesian Methods | Causal Impact | Causal Inference | Classification | Cloud Platforms | Cross-validation | Difference-in-difference | Document Repositories | Event Logs | Feature Engineering | Forecasting | GCP | Hypothesis Testing | Pandas | PyTorch | Python | RAG evaluation | Retrieval-Augmented Generation | SQL | Scikit-learn | Sensor data | Series modeling | Time Series | Time Series Modeling | Uncertainty Quantification
Education
Roles
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