Data Scientist

Benefits

Additional Information

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 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

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Company Intel

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