KPMG's values describe who we are, what we do, and how we do it. The KPMG culture is rooted in our values – it's a culture of trust and collaboration, flexibility and diversity, where people share knowledge freely and genuinely try to bring out the very best in others. This culture allows you to flourish both as a professional and as an individual – to enjoy a challenging career and get the most from your personal life. Our business services groups consist of professionals with a wide range of skills and backgrounds. We are currently seeking a Data Scientist with Health Care Industry expertise, to join our Tyson's Corner office, with other locations considered.
Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data
Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Drive client engagements focused on Big Data and Advanced Business Analytics, in the health care space (claims data, payor/provider data, clinical outcomes); communicate results and educate others through reports and presentations
Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns
Five years of professional experience working as a Data Scientist
Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment
Masters degree or PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of two years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
Strong knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
Strong data extraction and processing, using MapReduce, Pig, and/or Hive preferred
Proficiency in analysis (e.g. R, SAS, Matlab) packages, programming languages (e.g. Java, Python, Ruby) as well as the ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing and databases such as Hadoop, Storm, SQL and Solr
KPMG offers a comprehensive compensation and benefits package.
No phone calls or agencies please.
One Firm. One Team.
KPMG, an equal opportunity employer/disability/veteran. KPMG maintains a drug-free workplace.
KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192).
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