Company Description
The Data Scientist role focuses on designing and maintaining statistical frameworks that power Retail Panel data and market measurement solutions. This includes building and managing universe definitions, developing extrapolation methodologies, and ensuring high data quality and reliability across Point-of-Sale (PoS) datasets.
This role plays a critical part in transforming sample-based retail data into accurate market-level insights used by clients for business decision-making.
The position requires strong expertise in data analysis, statistical modeling, and quality control processes, along with a solid understanding of large-scale data production systems.
Job Description
1. Methodology and Universe Studies:
-
Design and manage universe studies, including project management.
-
Document methodologies for transparency and provide clear explanations of existing methods.
-
Review results of universe studies and insert changes in the POS Manager.
-
Conduct impact analysis of universe studies.
-
Design and simulate extrapolation setups for new panels and sign off on the designs.
2. Quality Assurance:
-
Optimize panel samples through shop contribution analysis and MDQC(Market Data Quality Check) outlier detection
-
Ensure target sample requirements are consistently met
-
Identify and resolve data issues (e.g., inactive shops, low sales performance)
-
Detect systemic methodological issues and drive end-to-end remediation plans
3. Modeling and Extrapolation:
-
Develop and maintain advanced models for missing retailers outside core systems
-
Support system integration of models and transition ownership to Stat Ops
-
Lead new country/channel setups, including: Channel definition validation, Universe and sample design, Clear implementation guidelines
4. Quality Monitoring:
-
Resolve complex (Level 2) methodology-related queries
-
Monitor KPIs related to panel health and data quality
-
Conduct root cause analysis (RCA) across key areas: Samples, Missing retailers, Universes, Copy shops, MDQC(Market Data Quality Check) / extrapolation issues
Qualifications
-
Bachelor’s degree or above in Statistics, Data Science, Mathematics, Economics, Business, Industrial Engineering, or a related field
-
Strong analytical and problem-solving skills.
-
Proficiency in statistical modeling and data analysis.
-
Experience with quality assurance and sample optimization.
-
Ability to document and explain complex methodologies clearly.
-
Familiarity with KPI monitoring and root cause analysis.
-
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
-
Extensive experience within Panel Quality value chain
-
High knowledge about all PoS (RMS) value chains
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://www.nielseniq.com/global/en/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
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 https://nielseniq.com/global/en/news-center/diversity-inclusion
