I will discuss the challenges in analyzing data in climate science with ever-increasing observational streams from satellites and increasing complexity and resolution in climate models. I will describe specific challenges in climate model parameterization, dealing with multi-model ensembles, the rise of process-based diagnostics and data mining techniques, and the potential for computer science and machine learning to contribute to solving those problems.