AI Definitions: Data Scientist
/Data Scientist - A data scientist is responsible for gleaning insights from a massive pool of data. They help collect and cleanse data, then work with the AI to make sense of it, often through discovering patterns. Data scientists typically hold advanced degrees in quantitative fields such as computer science, physics, statistics, or applied mathematics. With a strong understanding of math and statistics, they can invent new algorithms to solve data problems. They typically use programming languages such as Python, R, and SQL. Data scientists will be familiar with big data tools such as Hadoop and Apache Spark and will have experience working with unstructured data. If someone doesn’t list these skills on their resume, then that person probably isn't an authentic data scientist. AI advancements have shifted the role from number crunching to one of supervisory, strategic, and ethical oversight. Instead of producing hand-crafted models by line-by-line coding, the data scientist of the future will likely audit AI outputs, manage data ethics, and translate algorithmic outcomes into boardroom decisions. (also see AI engineers)