POSITIONS AVAILABLE - KPMG LLP
Manager, NBPG- Data Scientist LH (Multiple Positions), Chicago, IL.
Analyze and model structured data using advanced statistical methods. Implement algorithms and software needed to perform statistical analyses. Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data, and identify patterns. Build recommendation engines, spam classifiers, sentiment analyzers, and classifiers for unstructured and semistructured data. Cluster large amounts of user-generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop, and Spark. Apply machine learning, natural language, and statistical analysis methods, including classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods. Help drive client engagements focused on Big Data and advanced business analytics in domains including product development, marketing research, public policy, optimization, and risk management. Communicate statistical results and educate others through reports and presentations. Provide technical guidance to teams of quantitative professionals. Demonstrate in-depth technical knowledge. Establish and maintain client relationships and professional networks.
WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m. - 5:00 p.m.)
QUALIFIED APPLICANTS: Apply online at http://us-jobs.kpmg.com/careers/SearchResults and type requisition number 42856 in the keyword search box. Should you have any difficulty in applying for this position through our website, please contact: firstname.lastname@example.org for assistance in the application process.
If offered employment, must have legal right to work in the U.S. EOE.
KPMG offers a comprehensive compensation and benefits package.
No phone calls or agencies please.
KPMG, an equal opportunity employer/disability/veteran. KPMG maintains a drug-free workplace.
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