Requirements Bachelors Degree in Information Technology, Computer Science, quantitatively-focused social sciences, or other quantitative fields.
Experience working with large and varying data sets, applying qualitative and quantitative analysis to interpret the data. Must have experience working with Fraud Modeling, Applied Statistics, and AI Machine Learning. Knowledge and experience utilizing open source and business intelligence tools such as Python, R, Java, and SQL.
Experience with Tableau, AWS, Apache, Hadoop, NiFi, OrientDB, HBase, ElasticSearch, and JIRA. Understanding of and experience with building canned and ad-hoc reports based on user requirements. Proficient in MS Office with advanced skills in Excel, Access, PowerPoint, Projects, and Visio.