Data Scientist

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Data ScientistFull-timeCareer Site Team: ProductCompany DescriptionThe 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 Description1. 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 detectionEnsure target sample requirements are consistently metIdentify and resolve data issues (e.g., inactive shops, low sales performance)Detect systemic methodological issues and drive end-to-end remediation plans3. Modeling and Extrapolation:Develop and maintain advanced models for missing retailers outside core systemsSupport system integration of models and transition ownership to Stat OpsLead new country/channel setups, including: Channel definition validation, Universe and sample design, Clear implementation guidelines4. Quality Monitoring:Resolve complex (Level 2) methodology-related queriesMonitor KPIs related to panel health and data qualityConduct root cause analysis (RCA) across key areas: Samples, Missing retailers, Universes, Copy shops, MDQC(Market Data Quality Check) / extrapolation issuesQualificationsBachelor’s degree or above in Statistics, Data Science, Mathematics, Economics, Business, Industrial Engineering, or a related fieldStrong 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 PoSExtensive experience of working in an international environmentStrong quality orientation and solution drivenStrong command of the English languageExtensive experience within Panel Quality value chainHigh knowledge about all PoS (RMS) value chainsAdditional InformationOur BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-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:...