Data Scientist (On-Site in Boston, MA)
Tasks
- Apply responsible machine learning traceability and explainability
- Build reproducible preprocessing and model development pipelines
- Conduct exploratory data analysis
- Contribute to code reviews and model design discussions
- Develop statistical or machine learning models
- Document model specifications and limitations
- Implement simulation studies and benchmarking
- Monitor model performance metrics
- Participate in agile sprint planning and retrospectives
- Perform feature engineering
- Support deployment of models into user facing applications
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Bayesian Methods | Data Analysis | Data Pipelines | Docker | Experimental Design | Explainability | Exploratory Data Analysis | Feature Engineering | MLflow | Machine Learning | Model Deployment | Observational data | Python | R | Scikit-learn | Statistics | Supervised Learning | Testing | Traceability | Version control | XGBoost
Education
Roles
Regions
Countries
States
Cities
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