- Design, build, and validate predictive models, from GLMs and causal/econometric methods to deep learning-based forecasting.
- Apply causal inference techniques to help stakeholders make data-driven decisions.
- Own the full lifecycle of models from exploratory analysis through deployment, monitoring, and retraining.
- Write production-grade SQL, process data in Spark, and deploy models in Python.
- Translate ambiguous business questions into well-scoped modeling problems for clients.
- Communicate technical work to both technical and non-technical stakeholders to build strategic credibility.
PythonSQLMachine Learning+2 more