This application link states it is for a single geographic location. We are also hiring into the below office locations for Data & Analytics. If you are interested in working in one of these other locations, please apply via this link and we will address location preferences during the interview process.
Locations include but are not limited to:
• Washington DC
• New York City
• Orange County
• Atlanta
Responsibilities:
•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, in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations, reports and presentations
•Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
Qualifications:
•PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Operations Research, Engineering, Econometrics, or related fields
•Knowledge or experience in statistics, data mining, machine learning, and/or natural language processing, preferred
•Strong problem-solving ability through the use and/or development of algorithms, models, testing, etc.
•Experience in extracting, cleaning, preparing and modeling data, preferred
•Experience with command-line scripting, data structures, and algorithms; ability to work in a Linux environment, preferred
•Proficiency in analysis packages (e.g. R, SAS) and programming languages (e.g. Python, Ruby, Java, Scala), preferred
•Ability to apply data & analytics concepts to business problems and an understanding of how applying these concepts can provide business value and address client needs
•Demonstrated ability to work and collaborate effectively in a team
•Excellent problem-solving skills, verbal/written communication, and the ability to effectively explain both technical and non-technical concepts |
•Targeted graduation dates from December 2017 through Summer 2018 |
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