Data Scientist - Nielsen

Chicago, IL

Job Category: Data Science Industry: Advertising/Marketing Services Annual Salary: commensurate with experience

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.

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

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

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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