Data Science
- Build and evaluate predictive and decision models to be deployed in production systems, or for research
- Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables
- Conducting experiments with different types of algorithms and models, analyzing performance, to identify the best algorithms to employ.
- Architect and develop operational models that run at scale thru partnership withdata engineer teams