North America / United States / IL / Chicago / 1

Data Science

#: 743999734877520 / REF1675N

Mid-Senior Level


Job Description

Our Connect Data Science Omnishopper team is designing new Panel solutions. Our clients around the world rely on Connect data and insights to innovate and grow.
The purpose of this role is to work on the development of new Omnishopper products, a new way to measure how people shop, both online and in-store. We are looking for someone to join Project Mercury and eventually support other Omnishopper initiatives. Ideally, you should have knowledge of consumer panel behavior, experience related with unmanaged panels and developing strategies for improving panel engagement, improving data quality, and influencing panelists. You should have a passion for consumer sourced data!


  • Be the expert for behavioral aspects of our Omnishopper panels
  • Evaluate current methodologies to identify opportunities for enhancement
  • Present and communicate findings and recommendations based on research and analyses
  • Document findings, methodologies, and best practices


  • Bachelor’s or Master’s Degree or Doctorate Degree
  • Experienced in high-level programming languages (Python or R)
  • Knowledge in SQL, working with queries and large-scale databases
  • Excellent statistical and logic skills. Experience in trend analysis, multivariate statistics (parametric/ non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, data fusion (nice to have), and model validation techniques.
  • Strong aptitude for data analysis. Ability to manipulate, analyze and interpret large data sources.
  • Domain expert in at least one area: Demography, Sampling, Statistics Modeling, Research Practices.
  • Strong communication/writing and collaboration skills.​​
  • Eager to continuously learn and adopt changing technologies and tools