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Data Scientist 2183 views

Data Science – Denmark Copenhagen, Hovedstaden

The Data Scientist is responsible for performing complex statistical analyses and creating models for deeper understanding of viewing and panelist behaviour, creates high quality scripts to implement complex products and to automate complex procedures. The Data Scientist creates required quality control reports and dashboards to monitor and analyze metrics and KPIs for Nielsen’s Television Audience Measurement products. The Data Scientist also makes recommendations related methodology, data quality or measurement enhancement.

Core Responsibility

  1. Survey design
  • Performing sampling and weighting according to defined methodology for surveys.
  • Making recommendations to improve questionnaire design.
  • Controlling the quality of the survey database and enhancing the routine of the data checks.
  1. Related to Panel Sample selection, RIM Weighting design and Universes updates:
  • Performing complex analyses to specify panel sample design.
  • Performing and analyzing the tests on new universes/weighting structures implemented in the production system. Evaluating the effect of the new RW structure at the viewing.
  • Executes tests on new universes/weighting structures in the test environment:
  • To check the accuracy of the implementation.
  • To check the impact on weighting results, weight distribution and weighing efficiency.
  • To evaluate the effect at the viewing.
  • To monitor coherence and consistency between the estimated universe and the productive sample
  1. Data Quality
  • Recommending and implementing quality control and data validation improvement of linear and nonlinear viewing data
  • Analyze data quality according to defined criteria, defining and performing  creative and effective analyses approaches for quality control
  • Creating dashboards with creative and informative data visualization design
  1. Viewing data and panel measurement analysis
  • Performing regular reviews routine aspects of the service  (e.g. as required from reviews to the panel controls, weighting, etc).
  • Producing complex trend analyses of linear and nonlinear viewing
  • Performing viewing behavior analysis to detect any abnormality on the trends.
  • Performing panel behavior analysis to detect any abnormality on the trends.
  • Checking extreme viewers to verify the consistency of the behavioral trend.
  • Implementing multi-variable statistical models for deeper understanding of the data.
  1. Client communication
  • Participates or presents in Client meetings as required.
  • Contributes to the preparation of client-facing materials
  • Creates regular and ad hoc reports and evolves them in line with Client requirements
  1. Reports and documentation
  • Keeping Reference Manual sessions related to DSci responsibility updated.
  • Producing quality control reports based on business requirements.
  • Producing management reports as required.
  • Providing analytical support and assistance to Operations when necessary.
  • Document procedures and keep them updated.

Educational Background/Knowledge

  • Level of studies: University Degree or Diploma
  • Type of studies: statistics or sciences (mathematics) or sociology or economy
  • 3 or more years Data Scientist work experience
  • Work experience in the area of media research is preferred
  • A solid understanding of statistical concepts and techniques used in a market research environment, including complex data approaches as fusion and modelling techniques
  • Exceptional computer literate using R and Python
  • A solid experience at data visualization
  • Work experience with Machine Learning or Artificial Intelligence is advantage
  • Proficient in English and Danish (required)


  • Good communication skills: To maintain an excellent level of communication with external/internal collaborators
  • Outstanding analytical and planning skills (Problem solving): To be able to identify a problem and to generate timely solutions by thinking creatively and developing strategies to achieve business goals
  • Team player skills: ability to build and maintain positive and collaborative relationships with other departments; and/or participates in effective and high-performance cross-functional teams
  • Commitment and attitude: dedication to the organization, enthusiasm for adding value, and his/her ability to act effectively without guidance. Being eager to learn and grow.
  • Attention to details: Ability to pay attention to the details and ensure the quality of the output
  • Working effectively under pressure
  • Results Oriented: To be reliable upon meeting goals, targets and daily tasks within required timeframes, providing high quality results and services that exceed the requirements of internal and/or external clients.
  • Proactive and Initiative: Proactively identifying bottleneck areas and/or undertake tasks and initiatives that are beyond the scope of the defined job but that contribute to the effectiveness of the work unit.
  • Dependability in Work Environment


They’re in tune with what the world is watching, buying, and everything in between. If you can think of it, they’re measuring it. They sift through the small stuff and piece together big pictures to provide a comprehensive understanding of what’s happening now and what’s coming next for their clients. Today’s data is tomorrow’s marketplace revelation.

They like to be in the middle of the action. That’s why you can find them at work in over 100 countries. From global industry leaders to small businesses, consumer goods to media companies, they work with them all. They’re bringing in data 24/7 and the possibilities are endless. See what’s next with them at Nielsen:

Job Type: Regular

Primary Location:  Copenhagen,Hovedstaden

Travel:  Yes, 10% of the Time

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