Data Scientist Data Engineering, GRAD

Less than 5 years experience  • 

Salary depends on experience
Posted on 03/21/18
Chicago, IL
Less than 5 years experience
Salary depends on experience
Posted on 03/21/18

At Nielsen we understand the importance of knowing what consumers Watch and Buy.  As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers.  Our Global Research & Analytic Development associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, physics, and statistics.  These professionals drive innovation and insight through continual ideation, complex analyses, and delivery of insights to our clients.  Because measurement is at the core of Nielsen's business, our products have high visibility and make a direct impact on our clients.Our team in Chicago has an opportunity available for a Data Scientist.  The ideal candidate must have work experience in the development of econometric models, expertise in modern analytics programming, the capacity to work in an agile development environment alongside software engineers, and a solid foundation in developing solutions for marketing, pricing and/or advertising organizations.

 

Responsibilities

  • Design market response analytics models and approaches
  • Design and write modules for Nielsen’s analytics platforms using Python, R and Spark MLlib
  • Extract data using SQL
  • Create various prototypes for research and development purposes
  • Document and present methodology inside and outside the company
  • Partner with our Software Engineering department to build best-of-class web-based analytical solutions

Requirements

  • Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
  • 2+ years work experience in delivering analytics software solutions in a production environment
  • 2+ years work experience in quantitative marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product Innovation and implementation
  • Expertise in analytics programming languages such as Python (with pandas), R, and/or SAS
  • Exceptional problem solving skills
  • Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines
  • Excellent oral and written communication skills

Requirements

  • Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
  • 2+ years work experience in delivering analytics software solutions in a production environment
  • 2+ years work experience in quantitative marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product Innovation and implementation
  • Expertise in analytics programming languages such as Python (with pandas), R, and/or SAS
  • Exceptional problem solving skills
  • Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines
  • Excellent oral and written communication skills

Desired

  • Experience in marketing mix modeling with Nielsen or IRI syndicated data
  • Experience with household/person-level loyalty card analytics
  • Experience with big data analytics and/or machine learning techniques, including Apache Spark
  • Experience with Scala and/or any other open source programming
  • Short-release life-cycle experience (agile processes including scrum)
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