Data Scientist

Purpose of the role mission

The Data Scientist role is responsible for designing and leading universe studies setting up the extrapolation for Retail Panels discussing and designing rawdata modelling for non-coop retailers and supporting root-cause analysis in case of clients complaints when related to these activities.

This role requires strong data fluency analytical skills with the ability to assess data relevance and a deep understanding of retail panels and their value.

Key activities:

1. Universe Studies:

Design and lead universe studies acting as a project manager for these studies.

Document methodologies for transparency and provide clear explanations of selected methods.

Validate the universe estimation.

Conduct impact analysis of universe studies where relevant.

2. Extrapolation:

Design and simulate extrapolation setups for new panels.

In case of major change in the sample of a channel redesign its extrapolation matrix conduct impact analysis where relevant.

Support StatOps team in case of minor events (how to select a donor shop for a copy shop or a create shop how to slightly update the extrapolation in case of e.g. empty cell discuss quality issues / risks in case of weak / weaker sample).

Assess the compliance of the existing design of extrapolation matrix and eventually recommend improvement (in the design the sample size recommend target for recruitment etc.)

Specify sample checks per countrychannel and ensure that they are properly executed by Operation teams.

Jointly with Operation review the quality of the existing extrapolation and recommend / redesign if necessary (feedback loop from MDQC teams).

Update the Target Sample File every year and in case of significant change in the universe or the sample.

3. Modelling:

Assess the feasibility of non-coop retailer rawdata modelling outside of the system: business interest (in collaboration with Product) availability of data sources usability of modelling components

Design the solution test the development review the quality once implemented review every year the relevancy of the solution

Once implemented handover to Operation for ongoing maintenance and execution.

Support Commercial teams and Client Operation to explain the methodology of a Rawdata modelling.

4. Quality and Projects

Implement new country-channel setups including reviewing channel definitions designing universes and samples and providing setup instructions.

Resolve Level 2 methodology clarification issues.

Support Major Data Change required by a redesign recommended by Data Science (major change in the universe major redesign of an extrapolation major redesign of a rawdata modelling): support the definition of the action plan support the client communication.

Participate to Data Science regional and global projects

Qualifications :

Skills and Qualifications:

Strong analytical and problem-solving skills.

Proficiency in statistical modeling and data analysis.

Ability to document and explain complex methodologies clearly.

Familiarity with root cause analysis methods (such as 5why method)

Excellent communication and organizational skills.

Ability to work independently and as part of a team.

Knowing production processes for PoS

Extensive experience of working in an international environment

Strong quality orientation and solution driven

Strong command of the English language

This role is ideal for individuals with a keen eye for detail and a passion for data and data science. If you enjoy working in a dynamic environment and have the skills listed above we encourage you to apply for the Data Scientist position.

Additional Information :

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

For more information visit

Want to keep up with our latest updates

Follow us on: LinkedIn  Instagram  Twitter  Facebook

Our commitment to Diversity Equity and Inclusion

At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the  Work :

No

Employment Type :

Full-time