Job Directory Manager, NBPG- Data Scientist LH (Multiple Positions), Chicago, IL.

Manager, NBPG- Data Scientist LH (Multiple Positions), Chicago, IL.
Chicago, IL

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Job Description


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.)


Must have a Master's degree or foreign equivalent in Statistics, Analytics, Computer Science, Mathematics, Engineering, or a related field and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent in Statistics, Analytics, Computer Science, Mathematics, Engineering, or a related field and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 1 year of experience with the following: Engineering statistical features to enable predictive modeling; Command-line scripting, data structures and algorithms; Processing data in a cloud environment; Data analysis using R, Python, SAS, or JavaScript; Unstructured data including text, categorical, and images; Data extraction and processing using Map Reduce, Pig, or Hive; Working in a Linux environment; and Machine learning, data visualization, statistical modeling, data mining, or information retrieval. Travel up to 80% required. Employer will accept any suitable combination of education, training, or experience.

QUALIFIED APPLICANTS: Apply online at 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: 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.

© 2019 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.

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