Data scientists should lead the selection of ML techniques because they understand the logical problem to solve. Business owners provide the guiding business objectives, and data engineers help ensure model fit with datasets. Data teams also should consider using an autoML tool, which recommends a technique based on their features and labels. When in doubt, choose the simpler technique to reduce risk.