Georgia Institute of Technology College of Computing

Job Overview:
• Retrieve, prepare, and process a rich data variety of data sources such as social media, news, internal/external documents, emails, financial data, and operational data
• Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research
• Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition, document classification, and sentiment analysis
• Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Spark, Hadoop, Qlikview, and Tableau
• Translate advanced business analytics problems into technical approaches that yield actionable recommendations
• Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
Qualifications & Essential
• Master’s degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields, with five years of relevant experience and strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval; PhD preferred
• Deep experience in extracting, cleaning, preparing, and modeling data; command-line scripting, data structures, and algorithms; and working in a Linux environment
• Proficiency in analysis packages (e.g. R, SAS, Matlab) and programming languages (e.g. Python, Ruby, Java, Scala)