The Nielsen Company Principal Data Scientist in Warsaw, Poland


SIMPLY PUT: The Principal Data Scientist defines and leads multiple methods improvement projects for the Methods group, and may oversee individuals within data science roles.


  • Define and lead all analyses to support innovation initiatives, methodology development, standards and best practices.

  • Manage multiple projects simultaneously

  • Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. The primary areas includes – but not limited to – trend analyses, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources.

  • Address major quality escapes (problems).

  • Ensures documentation of the new methodologies and best practices.

  • Work with cross-functional teams to design, implement, and test new consumer and audience measurement methodologies.

  • Design and test data collection methodologies for Nielsen panels and surveys.

  • Define and lead for the identification and implementation of methods and best practices to improve respondent cooperation and optimize data collection approaches

  • Represents Data Science in meetings and interactions with other Nielsen departments

  • Represents Nielsen within academic and research councils.

  • Ensures that the team addresses the client’s needs.

  • Oversee and guide project teams


· B.S. or Masters degree in Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.) with outstanding analytical expertise and strong technical leader

· 7- 10 years of relevant experience

· Experience in trend analyses, multivariate statistics (parametric/ non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, generalization.

· R, Python or other statistical packages.

· Strong communication/writing skills

· Ability to manipulate, analyze and interpret large data sources


· Experience in big data technologies and machine

· Knowledge in SQL, working with Algorithms, and large-scale databases.

· Demonstrates experience in Nielsen methodologies, data collection, platforms, research processes and operations.

· Domain expert in at least one area: Demography, Sampling, Statistics Modeling, Research Practices, Retail Measurement, Audience Measurement, Data Integration and/or Digital.


At Nielsen you will experience a dynamic, open, and solution-oriented international envi­ronment, where we support your development through a trust-based feedback culture and diverse training possibilities.

As part of our culture, our promise to you is that at Nielsen you can: Be Yourself, Make a Difference & Grow with Us.