Full-Time Senior Marketing Data Scientist

About the job: West Europe Marketing Science team is a specialist business unit providing consulting and advanced statistics across the NIQ SA&I portfolio. 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.

Share the same vision to learn, develop and share the latest cutting-edge methods. 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.

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
• 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
• Open for other EU locations

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