7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) - Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis using Machine Learning techniques - Experience working with tools like Dataiku, Rapid Miner - Experience with descriptive statistics and exploratory data analysis (EDA) - Experience in working with large datasets in flat files, relational databases, and distributed systems - Strong exposure to GCP Platform - Passion for applying analytics methods to improve mission and business decisions - Strong people skills, team orientation, and a professional attitude - Ability to communicate complex ideas effectively, both verbally and in writing.
