Responsibilities Data formatting, preparation, and ETL - ensuring everything we build that is useful is located in our data warehouse and in our BI toolsImplementing production from Python algorithms, crawlers, and data extractors from experimental Jupyter notebookPartnering with frontend and backend engineers to include our algorithms within our apps, i.e. Driver app (demand forecasting, predictive maintenance, etc.) and User app (demand pricing, targeted marketing, etc.)Creating, extracting and scraping new data sets from our existing data sources as well as from commuter data via GSM, public transport data, high frequency shops and venues, events, etc.