Senior Data Scientist

Job Description

The Senior Data Scientist / Modelling role is responsible for designing, developing and maintaining Modelling for non-coop retailers.

Data Science oversee universe studies, set up the extrapolation for Retail Panels, select and design modelling technics for non-coop retailers, and support root-cause analysis in case of client’s 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. Modelling:

• Select the modelling method of non-coop retailer modelling: via extrapolation, via basic modelling or via rawdata 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, need to develop new components.

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

• Once implemented, assess the feasibility to handover to Operation for ongoing maintenance and execution. Otherwise, define the process for execution by Data Science team.

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

1. Knowledge

Modelling requires general knowledge of Retail Panel production processes and methods. 3 topics are important to deeply understand

Universe Studies:

• Methods and Data sources for universe studies, in collaboration with Data Science leads for the workstream.

As part of modelling, knowledge of the non-coop retailers can be gained from standard universe studies, but if it’s not possible or not sufficient, additional knowledge is required, feasibility and relevance must be assessed.

Extrapolation:

• Knowledge about the compliance of the existing design of extrapolation matrix and eventually recommend improvement (in the design, the sample size = recommend target for recruitment, etc.)

Quality and Projects

• Business knowledge regarding channel definitions, samples design, client’s usage of Retail Panel

• Participate to Data Science global projects, in close collaboration with the Research team

Qualifications

• Proficiency in statistical modeling and data analysis.

• Strong quality orientation and solution driven.

• Strong analytical and problem-solving skills.

• Ability to document and explain complex methodologies clearly.

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

• Excellent communication and organizational skills.

• Ability to work independently and as part of a team.

• Extensive experience of working in an international environment

• 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 NIQ’s 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 NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 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 insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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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 https://nielseniq.com/global/en/news-center/diversity-inclusion