Data science is the discipline of extracting insight and predictions from data by combining statistics, programming and domain knowledge. It turns raw records into answers, forecasts and models that guide decisions.
A data scientist uses statistics, programming and domain knowledge to find patterns in data, test ideas and build predictive models. Hiring one pays off when a team has reliable data and decisions that better evidence can improve.
Machine learning is a branch of AI in which systems learn patterns from data to make predictions or decisions. The behaviour comes from training on examples rather than from rules written by hand.
Data engineering is the discipline of building and running the systems that collect, store, move and prepare data. Its output is reliable data that analysts, data scientists and product features can use.
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