Data Scientist

Nielsen   •  


Industry: Professional, Scientific & Technical Services


Less than 5 years

Posted 125 days ago

This job is no longer available.

Understanding marketing effectiveness is critical to the 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/Senior Data Scientist. The ideal candidate must have work experience in the development of econometric models, machine learning, expertise in modern analytics programming, a solid foundation in developing solutions for marketing including digital advertising across multiple devices, 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 omni-channel media as well as 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 large volumes of data 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

  • 3+ years work experience in delivering analytics software solutions in a production environment

  • 3+ years work experience in quantitative marketing analysis, machine learning and statistical modeling with an emphasis on econometric and predictive analytic

  • Track record of product Innovation and implementation

  • Expertise in analytics programming using R and proficiency in SQL and big data technologies. 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 marketing mix modeling with Nielsen or IRI syndicated data

  • Experience with household/person-level loyalty card analytics

  • Breadth of experience with a variety of big data analytics and machine learning techniques, including Apache Spark

  • Familiar with and curious about the latest trends in deep learning and AI

  • Experience in cross device analytics

  • Experience with Scala and/or any other open source programming

  • Short-release life-cycle experience (agile processes including scrum)