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Data Scientist - Methods

  • Warszawa, mazowieckie pokaż mapę
  • Specjalista
  • 01.12.2017

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    Data Scientist - Methods

    Workplace: Warszawa
    As a leader in marketing and media information, Nielsen is one of the most trusted sources of business intelligence for the world's top brands. The work we do makes a significant difference to how businesses and brands perform in markets around the world. At Nielsen we all share a commitment to our core values of being simple, open and integrated in how we work — with each other, our partners, and our clients.

    We are looking for experienced and passionate people to join our teams in Warsaw location.

    Data Scientist, Methods

    Data Scientist supports all analytical needs for the Methods group.  


    • Support analyses for the  Methods group, including product analyses, client inquires, impact of changing methodologies, standards and best practices.
    • Support in prototyping (what –ifs) as well as supporting pilot programs for R&D purposes.  The primary areas includes – but not limited to – trend analyses, identifying gaps for improvements in coverage, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources.
    • Support in addressing major quality escapes.
    • Work with cross-functional teams to design, implement, and test new consumer measurement methodologies.  
    • Assist in the design and testing of data collection methodologies for Nielsen panels and surveys.
    • Provide research support for the identification and implementation of methods and best practices to improve respondent cooperation and optimize data collection approaches.
    • Generate Impact data on purposed methodological changes as to assess impact.


    • 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.
    • Experience in trend analyses, multivariate statistics (parametric/ non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, generalization.
    • Proficient in 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 learning.
    • 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, Dampling, 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 envi¬ronment, 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.

    To apply for this position please send your CV in English via Career section or our web site www.nielsen.com or simply by using "Aplikuj" button.

    Please be informed that we only contact selected candidates.

    Please include the following statement: "I hereby authorize you to process my personal data included in my job application for the needs of the recruitment process in The Nielsen Company (in accordance with the Personnel Protection Act 27.08.1997, Dz. U. 2002, no 101 position 923)


    Administratorem dobrowolnie podanych danych osobowych jest Nielsen Services Poland Sp. z o.o. z siedzibą w Warszawie (02-676) przy ul. Postępu 15b. Dane osobowe zawarte w dokumentach aplikacyjnych będą przetwarzane w celu rekrutacji. Podane dane mogą być udostępnione podmiotom upoważnionym na podstawie przepisów prawa. Przysługuje Pani/Panu prawo dostępu do treści swoich danych oraz ich poprawiania.