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Data Scientist

Company Name: KPMG
Location: New York, NYC
Date Posted: 29th Mar, 2017


  • 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


  • 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)
  • Ability to translate engagement objectives to a project plan with milestones, and resource/technology requirements, and teach, lead, and manage projects to successful execution
  • Ability to work with clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills and verbal/written communication to non-technical audiences
  • Ability to travel up to 80%
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future