This document describes Jobmash, a tool for helping job seekers find data science jobs that match their skills and interests. It analyzes over 11,000 data science job postings to identify similarities between jobs based on their text, removing buzzwords. It then uses these similarities to predict job titles from descriptions and provide "more like this" recommendations. The creator hopes this tool will help job seekers find relevant openings and not miss similar jobs that may not use standard titles. It was developed using text analysis techniques like term frequency-inverse document frequency (TF-IDF) and cosine similarity.