Statistician - Media Analytics

This job posting was marked by employer as filled and is probably no longer available
  • Location Chicago, Illinois
  • Date Posted 27th July 2017
  • Category Research
  • Job Type Full-time
  • Requisition ID 255

Description

Are you an intuitive data junkie? To maintain our position as the world’s leading market intelligence agency, we are investing in a brand new project to build a modern data processing and analytics platform. This will use cutting edge cloud, big data and data visualization technologies and we are looking for a savvy Statistician whose primary responsibility is to design, implement and test new proprietary metrics within the media and media measurement arena.

What You Will Do:

  • Analyze and model structured and unstructured data using advanced statistical methods
  • Identify and implement methods and best practices to improve the reliability and validity of existing proprietary metrics, and create new ones
  • Serve as the resident expert and share statistical best practices and applied analytic methods
  • Assist in the development of analytical acumen across the broader research team
  • As needed for each of the above, responsible for the development of data files, documentation, weighting and imputation and implementation
  • Meet with clients to understand the array of client applications
  • Conduct desk research and use proprietary information assets to develop a thorough understanding of the industries we support
  • Stay relevant in the area of media measurement and marketing effectiveness through industry contacts and desk research

What We’re Looking For:

  • BA/BS in Applied Statistics, Mathematics, related field or equivalent technical experience
  • Knowledge of media measurement techniques and applications preferred.  Cross-channel media analysis experience preferred, especially as it relates to composite reach and impressions
  • Knowledge of advanced analytics required, e.g.: clustering methods, multidimensional scaling, logistic and linear regression
  • Self-directed with a willingness to learn something relatively unknown, track down answers quickly/efficiently and educate others
  • Experience using data from disparate sources
  • Ability to grasp new concepts easily, and be able to implement concepts into models for client applications
  • At least 2 years of professional modeling experience (within a non-academic environment) preferred
  • Knowledge of R, Python, SAS preferred
  • Collaborative team player with experience working with cross-functional teams
  • Excellent oral and written communication skills

Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

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