skip to main content

Important Notice

It appears you are using an older version of your browser. While some functions will be available, works best with a modern browser such as the ones provided by:

Please download and install the latest version of the browser of your choice. We apologize for any inconvenience.

Manager, NBPG- Data Scientist LH (Multiple Positions)

Click the Facebook, Google+ or LinkedIn icons to share this job with your friends or contacts. Click the Twitter icon to tweet this job to your followers. Click the link button to view the URL of the job, which then can be copied and pasted into an e-mail or other document.

Job Details
Job Order Number
Company Name
Physical Address
Chicago, IL 60601
Job Description

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. 40 hours per week, M-F (9:00 a.m.–5:00 p.m.).

JOB REQUIREMENTS: 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 Web site, 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.

To view full details and how to apply, please login or create a Job Seeker account.