BigDataBall runs a crowd-sourced model where the collected data from partners are being moderated through a couple of processes in order to get enhanced with calculated metrics like usage/rest-days/schedule/lineups/efficiency. Some external datasets such as betting odds/movements, daily fantasy sports salaries/positions are also being acquired through commercial APIs and being involved to finalize the generation process for our team/player/play-by-play, and DFS users. Determined errors made during charting are then corrected to make sure that the output is accurate.
Do you like sports and want to earn a side income while you are attending or watching games? If you consider yourself as a detail-oriented sports fan with basic MS Office (mostly Excel) skills, be part of the sports data generation team at BigDataBall.
We offer a remote working environment and flexible hours. Just ping us for more information.