Data Scientist
Role details
Job location
Tech stack
Job description
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Collaborative Environment: Work with an international team in a flexible and supportive setting.
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Methodology Enhancement: Evaluate and improve current methodologies, including data cleaning, preparation, quality tracking, and consumer projection.
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Research and Analysis: Present and communicate findings and recommendations based on rigorous research and analysis.
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Innovative Solutions: Develop prototypes of new solutions and methodologies to address market challenges.
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Deployment Support: Assist in the production deployment of proposed method enhancements and new solutions.
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Documentation: Document findings, methodologies, and best practices comprehensively.
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Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless integration and execution.
Requirements
Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with expertise experience with panel data to revolutionize the way we measure consumer behavior both online and in-store., Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage.
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Educational Background: Bachelor's or master's degree in mathematics, statistics, socio-economics, Data Science, or a related field with a minimum of 3 years of relevant experience.
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Statistical Expertise: Statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques.
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Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels.
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Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets.
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Programming Proficiency: Experience with Python or another high-level programming language (R), with a willingness to learn Python.
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Database Handling: Skilled in SQL and working with queries and large-scale databases.
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Continuous Learning: Eagerness to adopt evolving technologies and tools.
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Communication and Collaboration: Strong communication, writing, and collaboration skills.
Nice to Have
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Cloud Computing and Big Data Platforms: Familiarity with technology stacks for cloud computing (Azure, Linux, Databricks).
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Version Control Systems: Experience with version control systems such as github and bitbucket.
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Prototyping: Interest in production-level solution prototyping.
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Production Support: Experience or interest in supporting technology teams in production deployment.
Benefits & conditions
Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team!
We offer a flex Hybrid mode : 1 per week at the office in Madrid (Ventas).
#li-hybrid
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)