Senior Data Scientist
Senior Data Scientist R26_0019273|COAvenida Calle 100 No. 9A-45, Bogota, ColombiaEmployees work in a hybrid mode #LI- HybridCompany DescriptionNIQ, the world’s leading consumer intelligence company, reveals new pathways to growth for retailers and consumer goods manufacturers. With operations in more than 100 countries, NIQ delivers the most complete and clear understanding of consumer buying behavior through an advanced business intelligence platform with integrated predictive analytics. NIQ delivers the Full View. NIQ was founded in 1923 and is an Advent International portfolio company. For more information, visit NIQ.com We are looking for a hands-on Senior Data Scientist who enjoys working with large-scale consumer and retail datasets to solve complex measurement and analytics challenges. This role focuses on data quality, statistical methodologies, sampling approaches, and data pipeline validation, helping ensure the accuracy and reliability of products that support key business decisions.You will work closely with data science, technology, and product teams to investigate data issues, design analytical approaches, validate outputs, and improve processes across cloud-based data platforms. This is not a traditional AI/ML modeling role. Instead, it is ideal for someone who enjoys working with complex, disaggregated datasets, applying statistical rigor, and building scalable solutions that directly impact consumer insights and product development.If you are energized by solving ambiguous analytical problems, improving data reliability, and translating complex findings into actionable recommendations, this role is for you.What You’ll DoWork hands‑on with large‑scale consumer and behavioral datasets, supporting measurement products used across North AmericaEvaluate existing data preparation, validation, and projection methodologies, identifying opportunities for improvementDesign and prototype new statistical or data‑driven approaches to address evolving market and measurement challengesDevelop end‑to‑end quality, validation, and performance indicators tied directly to product accuracy and reliabilityPartner with Product, Engineering, and global Data Science teams to support production deployment of new solutionsInvestigate data issues, perform root‑cause analysis, and recommend corrective actionsClearly summarize findings and recommendations for technical and non‑technical stakeholdersMaintain clear documentation of methodologies, assumptions, and best practices What We’re Looking For (Must‑Have)3–6 years of experience in a Data Scientist, Statistical Analyst, or similar hands‑on analytics roleStrong foundation in statistics, mathematics, econometrics, or data scienceAdvanced proficiency in Python (data manipulation, validation, analysis — not just modeling)Strong working knowledge of SQL and experience querying large, complex datasetsExperie...