but I don't see how data scientists can apply their skills to solving this crime.
Data scientists and their work can appear in strange places as they use a lot of sophisticated statistics in conjunction with pulling in data that may not be readily connected.
Sometimes, the results can be counterintuitive and surprisingly effective. For example, during WWII British data scientists analyzed the sorties and returns of German U boats into the Atlantic and the efforts of allied aircraft to find and attack them.
A lot of information was put into the statistical analysis, including: crew rest times, weather, day verse night, repair times, speed of U boats, French resistance info on German quirks, rate of crew promotion and replacements, threat spotting abilities, response time, crew exhaustion rate. They then added the same for allied aircraft.
Anyways....
The data scientists came up with a recommended air patrol pattern that was counter intuitive to centuries of military practice. Counter intuitive changes were also made to attack techniques. The changes paid off "yugely" as the number of spottings and successful attacks soared.
In more modern times, the government has experimented with "game theory" ala
A Beautiful Mind (in contrast to the movie, the guy also had a reputation for bullying, jerk like behavior) and a lot of financial companies use data analysis and sophisticated mathematics to create securities trading algorithms.
Though data scientists cannot identify the guilty, they might be able to identify who is more likely to be guilty. Information that could be used could include, deviations in established patterns, truck, home address, apparent work location etc etc.