You'll have the freedom (and encouragement) to experiment, improve, invent, and innovate when analyzing tradeoffs of selecting source data; building tools that accelerate the development of ML models by scientists; developing ML models using variety of ML design approaches and solid breadth of knowledge such as data processing, regression, clustering, recommendations, classification, experimentation, model optimization