Understanding marketing effectiveness is critical to success of businesses across all verticals. As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers. Visual IQ/Nielsen associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, 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 Needham has an opportunity available for a Data Scientist. The ideal candidate must have work experience in the development of machine learning algorithms, expertise in modern analytics programming, digital advertising across multiple devices, a solid foundation in developing solutions for marketing, advertising organizations and/or pricing, and the capacity to work in an agile development environment alongside software engineers.
Design market response analytics models and approaches as applied to massive volumes of addressable data such as data created from digital advertising platforms
Design and write modules for Visual IQ/Nielsen’s modeling and analytics platforms using a variety of high level programming languages including R and Python
Extraction and handling of large volumes of data using SQL as well as big data technologies
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
Ph.D. 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 machine learning as applied to marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product Innovation and implementation
Proficiency in SQL and big data technologies
Expertise in analytics programming using R. Proficiency with other high level languages such as Python is highly desired.
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 attribution modeling
Experience in cross device analytics
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)
Data Scientist - Digital Attribution Developer - 4511