Marketing Scientist

Job Description

In this role, the Marketing Scientist will be responsible for developing and executing marketing campaigns, conducting market research, and creating reports that help advertisers understand their target audience. They will also be expected to work with stakeholders across the organization to gather requirements, design and implement analytical solutions, and communicate findings effectively to key decision makers. 

Mission:

• Develop Marketing Science solutions for Strategic Analytics & Insights (SAI)/ or Commercial products in the area of marketing effectiveness, brand management, pricing research, etc.  
• Support product development during planning, concept building and concept testing phases  
• Share Marketing Science knowledge within Regional and Global Marketing Science and Product network (training, presentation, COP, etc.) 
• Sometimes represent GfK’s Marketing Science expertise at internal and external conferences and workshops 

Responsibilities:

• Support the development of product concepts based on business requirements/needs 
• Implement marketing science and statistical models in proofs-of-concept (POCs) and prototypes based on the deep, multifaceted assessment of the value and feasibility of an idea 
• Implement large meta-analytical or validation studies around relevant marketing science topics to create new learnings/ internal know-how 
• Support the documentation and the presentation of the outcomes of the POCs and validation studies 
• Contribute to best practices in the area of Marketing Science 
• Participate in Communities of Practice; foster Marketing Science related knowledge exchange within GfK 
• When needed, serve as a key expert to assist regional marketing science teams during project execution 
• Present at internal and external conferences and workshops 
• Closely collaborate with the MCI Product Owners, Marketing Science Delivery Leads, Machine Learning Engineers  

Qualifications: 

• Bachelor or Master Degree in a field that emphasizes the learning of modelling, statistical or mathematical skills (PhD is a plus) 
• 3-5+ years of work experience 
• Solid modelling skills and statistics knowledge (essential) 
• Solid statistical skills and knowledge of econometric techniques in: 

       - survey/polling statistics (sampling, non-response adjustments, Bayesian statistics), and/or 

       - econometric modelling (program evaluation, forecasting, economic theory, panel data), and/or 

       - observational causal inference (potential outcomes, structural equation models, instrumental variables), and/or 

       - experimental design 

• Some experience in the following fields: brand management, pricing research, digital behavioural analysis, segmentation, etc 
• Very good knowledge of analytics programming languages (e.g., Python, R) and the respective tool ecosystem (e.g., R-Studio Server, Spyder, Jupyter, POSIT Workbench) 
• Very good experience using version control systems (e.g., Git) 
• Good experience visualizing and communicating results of data analyses with the ability to think beyond the numbers while addressing real-world business problems 
• Some experience in open data sourcing (Google Trends, Social Mentions, etc.)  
• Some SQL skills with regards to working with relational databases 

Soft Skills: 

• Mathematical thinking, strong analytical and problem-solving skills 
• Good attention to detail – ensure all outputs are delivered professionally and accurate 
• Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others.  Be a good role model, help to build teamwork and team spirit 
• Be well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment 
• Good experience with agile development practices 
• Ease of communication in an English-speaking business environment 

What we can offer: 
•    Work in dynamic environment engaging with local and global companies. 
•    Benefits & flexible working hours, hybrid work options. 
•    Internal trainings will be provided together with detailed onboarding agenda.  
•    Access to learning platforms
•    Staff and team events 
 

#LI-FC

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