Developer or engineer taking on such a task

 Any developer or engineer taking on such a task, however, needs to spend time evaluating the options out there. There’s also an element of uncertainty, because with any automated system, you never know how effectively it’ll behave until you “take the plunge” and plug your own data into it. In such instances, familiarity with automation and A.I. is a must, as well as a firm grasp of project-management principles. 

As you can see from the following chart (sourced via Burning Glass, which collects and analyzes millions of job postings from across the country), data privacy expertise pops up as a request in 1.80 percent of job postings for computer science major jobs engineers and analysts today; it’s also present in roughly 2.7 percent of technology consultant postings. Those aren’t high percentages, but there’s also enormous potential for growth over the next several years.

Fortunately, fraud-detection systems based on machine learning have become increasingly mature. These systems reduce the need for human intervention (which is time-consuming and tiresome) and speed up the elimination of fake profiles and the negative behavior stemming from them.