Senior Data Scientist

Company Description

R24_0003140

We are a global, diverse team that is passionate about developing world-class solutions to reveal the complete consumer journey to our clients. We are looking for data scientists to support the process of reinventing the way we measure how people shop, both online and in-store. Be part of the exciting journey to transform our panel measurement business. 

Job Description

• Join international team in a flexible working environment, supporting North American Product development. 
• Evaluate current methodologies and identify opportunities for enhancement (input data cleaning, data preparation methodologies, data quality tracking, consumer projection) 
• Present and communicate findings and recommendations based on research and analysis 
• Design end to end validation/projection performance indicators in connection to the product quality 
• Develop the prototypes of new solutions/methodologies to new market challenges 
• Support production deployment of proposed enhancements/new solutions. 
• Support documentation of findings, methodologies, and best practices 

Qualifications

• Bachelor’s or Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science or other related field with at least 3 or more years experience. 
• English language proficiency 
• Knowledge of/ Interest in consumers and their behavior and (un-)managed consumer related crowdsourced panels 
• Strong aptitude for data analysis. Ability to manipulate, analyze and interpret large data sources. 
• Excellent statistical and logic skills. Experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, data aggregation techniques. 
• Experienced in Python, with demonstrated experience.
• Experienced with SQL, working with queries and large-scale databases 
• Eager to continuously learn and adopt and develop evolving technologies and tools 
• Strong communication/writing and collaboration skills. 
• (nice to have) Experienced with version control systems 
• (nice to have) Experienced in technology stack for cloud computing (Azure, Databricks) 
• (nice to have) Experience/Interest in production level solutions prototyping 
• (nice to have) Experience/Interest in supporting technology teams in production deployment 

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

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

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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