Data Scientist at NielsenIQ

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Panel Data Expertise, Consumer Behavior Understanding, Methodology Enhancement, Data Cleaning, Consumer Projection, Statistical Analysis, Data Analytical Skills, Crowdsourced Panels, Receipt Capture Methodologies, Python, R, SQL, Data Aggregation, Bias Reduction, Communication, Collaboration

Industry

Software Development

Description

Company Description 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. Job Description About the Role Collaborative Environment: Work with an international team in a flexible and supportive setting. Methodology Enhancement: Evaluate and improve current methodologies, including data cleaning, preparation, quality tracking, and consumer projection. Research and Analysis: Present and communicate findings and recommendations based on rigorous research and analysis. Innovative Solutions: Develop prototypes of new solutions and methodologies to address market challenges. Deployment Support: Assist in the production deployment of proposed method enhancements and new solutions. Documentation: Document findings, methodologies, and best practices comprehensively. Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless integration and execution. Qualifications About You 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. - 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. - Statistical Expertise: Statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques. - Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels. - Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets. - Programming Proficiency: Experience with Python or another high-level programming language (R), with a willingness to learn Python. - Database Handling: Skilled in SQL and working with queries and large-scale databases. - Continuous Learning: Eagerness to adopt evolving technologies and tools. - Communication and Collaboration: Strong communication, writing, and collaboration skills. Nice to Have - Cloud Computing and Big Data Platforms: Familiarity with technology stacks for cloud computing (Azure, Linux, Databricks). - Version Control Systems: Experience with version control systems such as github and bitbucket. - Prototyping: Interest in production-level solution prototyping. - Production Support: Experience or interest in supporting technology teams in production deployment. 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! Additional Information We offer a flex Hybrid mode : 1 per week at the office in Madrid (Ventas). #li-hybrid Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At 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 https://nielseniq.com/global/en/news-center/diversity-inclusion Career Site Team: Data Science & Business Intelligence

Responsibilities

The role involves evaluating and improving current methodologies, including data cleaning, quality tracking, and consumer projection, while developing prototypes for new solutions to address market challenges. Responsibilities also include presenting findings, assisting in production deployment of enhancements, and comprehensively documenting methodologies and best practices.