- Translate stakeholder business questions into well-defined analytical problems and explain findings and trade-offs to technical and non-technical audiences.
- Explore, clean, and validate data from multiple sources, building reliable datasets and features for analysis and modeling.
- Design, train, and evaluate statistical and machine learning models, choosing the simplest approach that solves the problem.
- Design and analyze experiments, such as A/B tests, and define metrics that measure business impact.
- Work with client data and engineering teams to move models and analyses into production and monitor them over time.
- Write clean, tested, reproducible code and document assumptions, methods, and results.
- Work closely with team members to keep progress visible and raise risks early.
PythonSQLMachine Learning+2 more