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# Senior Data Scientist

- **Company:** Nielseniq
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Programming Languages
- **Published:** July 29, 2026
- **Apply:** https://www.buscojobs.com.es/senior-data-scientist-en-barcelona-ID-365081655

## About the Role

Master or PhD with 6+ years of experience in modeling and statistics

 - Expert in statistical / ML modeling (e.G., tests, classification, predictive modeling, handling missing data, sampling, weighting)
 - Experience with analytical programming languages (Python, R) and ecosystemRequisitos principales
 - Flexible working environment

## Description

Experteer Overview As a Data Scientist at NIQ, you will own end-to-end DS solutions, building models that translate data into actionable insights for cross-functional teams.You'll advance methods, contribute to DS communities, and communicate complex concepts to diverse audiences.The role blends research with productization, enabling evidence-based decisions that support NIQ's Full View of consumer behavior.You'll showcase DS expertise at conferences and drive knowledge exchange within the company.Compensaciones / Beneficios- Own and drive DS solutions through full life cycle (idea to maintenance)- Develop and deploy data science, statistics, and ML models- Improve methods and tools and contribute to communities of practice- Translate DS concepts for non-technical stakeholders across Tech, Operations, Commercial, Product- Leverage data strengths while mitigating weaknesses in solutions- Screen the market for new DS approaches- Foster knowledge exchange and present DS expertise at conferences/workshopsResponsabilidades- Master or PhD with 6+ years of experience in modeling and statistics- Expert in statistical / ML modeling (e.G., tests, classification, predictive modeling, handling missing data, sampling, weighting)- Experience with analytical programming languages (Python, R) and ecosystemRequisitos principales- Flexible working environment- Volunteer time off- LinkedIn Learning- Employee-Assistance-Program (EAP)


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