Data Science Resume Template

A data resume must convince two audiences at once: technical interviewers evaluate your modeling, algorithms, and engineering; business interviewers ask whether your analysis actually moved decisions. The Data Science template answers both with a "tech stack + business impact" dual-track structure.

The upper half is a compact skills matrix — programming languages, ML frameworks, data tools, and statistical methods grouped in categories so both machines and people can locate them fast; the lower half splits every project into "problem — method — result", putting methodology (modeling, A/B testing, causal inference) side by side with business metrics (accuracy, recall, conversion lift, cost reduction).

It is built for data scientists, ML engineers, and analysts. The ATS tags guide you to write abstract methods as searchable keywords (XGBoost, PyTorch, Spark, A/B Testing) to raise your odds of passing machine screening.