KPMG Manager, Advisory – Data Scientist (Multiple Positions) in New York, New York

Manager, Advisory – Data Scientist (Multiple Positions)

New York, New York

Requisition #: 38915

Practice Area: Business Support Services

Location: New York, NY

POSITION AVAILABLE – KPMG LLP

Manager, Advisory – Data Scientist (Multiple Positions) (New York, New York)

Analyze and model structured data and implement algorithms to support advanced business analysis utilizing statistics, machine learning, data mining, econometrics, and operations research. Retrieve, process, and prepare data sources including social media, news, internal and external documents, e mails, financial data, and operational data. Perform Statistical Natural Language Processing to mine unstructured data using document clustering, topic analysis, named entity recognition, document classification, and sentiment analysis. Support client engagements focused on Big Data and advanced business analytics in risk management, product development, marketing research, supply chain, and public policy. Demonstrate in-depth technical knowledge. Pursue business development opportunities. Establish and maintain client relationships and professional networks.

WORK SCHEDULE: 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 Computer Science, Statistics, Mathematics, Engineering, Econometrics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or a related field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience with the following: Data mining, machine learning, operations research, natural language processing, or information retrieval in the financial services industry; Command line scripting, data structures, and algorithms; Utilizing Linux; Utilizing R, SAS, and Matlab; Utilizing Python, Ruby, Java, and Scala; and Utilizing Spark, Hadoop, Qlikview, and Tableau. Travel up to 80% required. Employer will accept any suitable combination of education, training, or experience.

QUALIFIED APPLICANTS:Apply online atand type requisition number38915in the keyword search box. Should you have any difficulty in applying for this position through our website, please contact:us-hrscatsadmin@kpmg.comfor 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.

© 2018 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.

Our Benefits

Health

KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.

Personal Time Off (PTO)

Up to 30 PTO Days per year (depending on job classification/level/years of service).

Financial

  • 401(k) and Pension Plans

  • Dependent Care Flexible Spending Account

  • Health Care Flexible Spending Account

  • Mortgage Assistance Program

  • HomeBenefits@Work Program

  • Hyatt Legal Plan

  • Benefits vary by employment status.