Analytics & machine learning

Data Scientist

Most of the job is cleaning data nobody documented.

Data scientists build models and analyses to answer business questions and drive decisions. The romantic version is machine learning; the real version is a great deal of data cleaning, stakeholder management and explaining uncertainty.

A day in the life

1. 9:00aCheck yesterday's model run and data pipeline
2. 10:00aClean and join a messy new dataset
3. 12:30pLunch
4. 1:30pFeature engineering and model iteration
5. 3:30pPresent findings to stakeholders who wanted a simpler answer
6. 5:00pDocument assumptions so the result is reproducible