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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 general 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 practicesQualificationsMust‐Have3–6 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 datasetsExperience with data cleaning, validation, aggregation, and quality control at scaleHands‐on experience in cloud environments,



ideally Azure and DatabricksExperience working with version control (Git)Ability to explain technical concepts clearly and work independently with minimal supervisionNice to Have (But Not Required)Experience with consumer, retail, CPG, panel, survey, or transactional dataExposure to projection methods, weighting, sampling, or measurement frameworksExperience supporting product development or data productsBackground in economics, statistics, or applied researchFamiliarity with Spark / PySparkOur BenefitsVersátil working environmentVolunteer time offLinkedIn LearningEmployee‐Assistance‐Program (EAP)Our Commitment to Diversity, Equity, and InclusionAt 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
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Postúlate en Kit Empleo: kitempleo.com.co/empleo/1b23tg

📌 Senior Data Scientist (Bogotá)
🏢 Nielseniq
📍 Bogotá