Data Science

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.**About the Role**

The Data Scientist is responsible for performing complex statistical analyses for deeper understanding of viewing and panelist behavior, creating required quality control reports, monitors and analyses metrics and KPIs for Nielsen’s Television Audience Measurement products. The Data Scientist also makes recommendations related methodology, data quality or measurement enhancement.

**Responsibilities**:

- 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.
- Related to Panel Sample selection, RIM Weighting design and Universes updates:

- Performing complex analyses to specify panel sample design according to specified methodology.
- Performing universe estimation from Central Statistical Office data according to specified methodology.
- 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.
- 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
- Recommending improvement of panel demo update questionnaire design.
- Recommending improvement of other panelist surveys including questionnaire design and data collection approach.
- Recommending quality control and data validation improvement of linear and nonlinear viewing data
- Analyzing data quality according to defined criteria’s, defining and performing creative and effective analyses approaches for quality control
- 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 behaviour analysis to detect any abnormality in the trends.
- Performing panel behaviour analysis to detect any abnormality in the trends.
- Checking extreme viewers to verify the consistency of the behavioural trend.
- Implementing multi-variable statistical models for deeper understanding of the data.
- Preparing presentation documents
- 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.

**Qualifications & Skills**:

- 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
- Working experience in Gulf countries
- A solid understanding of statistical concepts and techniques used in a market research environment, including complex data approaches as fusion and modeling techniques
- Computer literate using R or Python
- Work experience with Machine Learning and Artificial Intelligence is an advantage.
- Proficient in English
- Exceptional communication skills & Professional interaction: 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 undertaking 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