Mid Data Science AI job opportunity at NielsenIQ.

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Date2026-03-04T15:16:55.764Z bot
NielsenIQ Mid Data Science AI
Experience: 4-years
Pattern: Full-time
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loacation Avenida Calle 100 No. 9A-45,, Bogota, DC, Colombia
loacation Avenida Calle ..........Colombia
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Job DescriptionAs a Data Scientist on our team, you will:Design and deploy end-to-end machine learning solutions to solve diverse business challenges such as:Structuring and extracting insights from text dataInferring product attributesDetecting anomaliesMatching products across catalogsAutomating visual tasks using computer vision on millions of recordsMaintain and optimize existing models to improve performance and maximize business impactCollaborate cross-functionally with product managers, data analysts, software engineers, DevOps, and solution architects to translate ideas into scalable solutionsIntegrate ML models into business processes, working closely with multidisciplinary development teamsContinuously grow your technical expertise, staying up to date with the latest tools, frameworks, and best practices in data scienceDocument model development workflows to ensure reproducibility and transparencyCommunicate complex technical concepts clearly and effectively to non-technical stakeholders throughout the development lifecycle.QualificationsQualificationsWe’re looking for someone who brings:Proficiency in Python and its data science ecosystem (e.g., NumPy, pandas, matplotlib, seaborn, scikit-learn, TensorFlow and/or Keras)At least 3-4 years of hands-on experience in data science roles, with a focus on: Natural Language Processing (e.g., categorization, Named Entity Recognition) and Computer Vision (e.g., image classification, object detection)Strong coding practices, including writing clean, well-documented, and maintainable codeExperience with version control systems, such as GitSolid understanding of relational databases and SQLExcellent communication skills in English, both written and verbalProven ability to collaborate and present to stakeholders with varying levels of technical expertise

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