Senior Data Scientist

Built for data analysis workflows where you need statistical rigor and modeling expertise. It handles exploratory data analysis, feature engineering, model selection, and evaluation with a focus on production readiness. The skill brings knowledge of classical ML, deep learning frameworks, and experimental design to help you make defensible modeling decisions. Useful when you're past the CSV munging stage and need to actually validate assumptions, tune hyperparameters, or explain why your model generalizes. It won't replace domain expertise, but it'll push you toward better statistical practices and catch common pitfalls in your pipeline.