Marketing & Data Scientist at NielsenIQ

About the job : West Europe Marketing Science team is a specialist business unit providing consulting and advanced statistics across the NIQ SA&I portfolio. We act as consultants for statistical/ technical advice, input into client proposals, as well as support to research teams in the design & execution of all client projects. The team, spread across Europe, share the same vision to learn, develop and share the latest cutting-edge methods. Working with colleagues across country borders we promise a rewarding career progression: developing, customizing, and applying leading edge techniques across international markets, covering the full range of research applications across a wide range of industry sectors. Reporting to the head of Brand & Media Marketing Science team, your strong background in statistics and/ or data science enables you to run complex analytic projects. You will make useful contributions to discussions with clients and researchers and will recommend appropriate methodologies to design analytic/ research programs which address the client’s marketing/business problems.  Good communication skills are important as you will present analysis to researchers/clients on a regular basis.  We are looking for someone with experience with applying a diverse range of advanced analytics to survey research and other data sources, with excellent knowledge of Regression (Logistic, Linear, Non-linear), Factor analysis, Mapping… Knowledge of other areas such as Bayesian Networks, econometric modelling, segmentation, data integration, marketing mix modelling. We are looking for someone who is self-motivated, pro-active, creative, and eager to learn. Responsibilities : • Deliver analytics projects to a high quality that meet internal stakeholders’ and clients’ requirements • Maintain good working knowledge of statistical analysis techniques, both current and emerging. • Effectively manage own workload & be responsible for managing projects. • Maintain a broad and deep understanding of quantitative research techniques, to be able to mention appropriate solutions to client problems in a convincing way. • Develop an understanding of the possibilities and limitations of techniques and software packages. • Promote new techniques and approaches as well as continuously review external developments • Ensure high quality of all finished documents • Represent GfK’s Marketing Science expertise at internal and external conferences and workshops  Experience & Qualifications : • Bachelor or master’s degree in a field that emphasizes the learning of modelling, statistical or mathematical skills (PhD is a plus) • 5+ years of work experience in a market research agency • Expert modelling skills and statistics knowledge (essential) • Expert statistical skills and knowledge of econometric techniques in: • survey/polling statistics (sampling, non-response adjustments, Bayesian statistics), and • econometric modelling (program evaluation, forecasting, economic theory, panel data), and/or • observational causal inference (potential outcomes, structural equation models, instrumental variables). • Experience in and strong interest in the following fields: pricing research, brand management, digital behavioral analysis, segmentation, media effectiveness, etc • Expert knowledge of analytics programming languages (e.g., Python, R) and the respective tool ecosystem (e.g., R-Studio Server, Spyder, Jupyter, POSIT Workbench) • Solid experience visualizing and communicating results of data analyses with the ability to think beyond the numbers while addressing real-world business problems  Desirable : • Experience in open data sourcing (Google Trends, Social Mentions, etc.) • Experience using version control systems (e.g., Git) • Basic knowledge of Data Science such as Big Data Analytics (Machine Learning, Hadoop, Map Reduce, Hive, Spark, etc.) • Basic knowledge of cloud computing environments and tooling (AWS, Azure) • Basic SQL skills with regards to working with relational databases • Basic knowledge of programming in VBA  Soft Skills : • Mathematical thinking, strong analytical and problem-solving skills • Proven client-facing skills: translate and clearly communicate sophisticated analytical information to non-expert stakeholders and clients, able to deliver analytic insights in an impactful and meaningful way. Good at managing researcher expectations. • Proven project management skills: manage own and team time effectively and ensure all project deadlines are met, act to resolve conflicts between tasks • Good written skills, ability to write ability to help write proposals, reports and concise summary of findings (essential) • Good attention to detail – ensures all outputs delivered to clients/researchers are professionally presented 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-organized, flexible, committed, pro-active, and creative • Is able to learn new methodologies and programming languages quickly. • Ease of communication in an English-speaking business environment  #LI-Hybrid #LI-FC