Job Description: Marketing Science Specialist

Employment Type: Full-time Location Type: Remote Salary: [Salary information not provided]

Company Description

[Company description not provided]

Position Overview

The 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, provide input into client proposals, and support research teams in the design and execution of client projects. Our team, spread across Europe, shares a vision to learn, develop, and share the latest cutting-edge methods. Working with colleagues across country borders, we offer rewarding career progression by developing, customizing, and applying leading-edge techniques across international markets, covering a wide range of research applications across various industry sectors.

Reporting to the Head of Brand & Media Marketing Science team, your strong background in statistics and/or data science will enable you to run complex analytic projects. You will make valuable contributions to discussions with clients and researchers, recommending appropriate methodologies to design analytic/research programs that address client marketing/business problems. Good communication skills are important as you will present analysis to researchers/clients regularly.

Responsibilities

• Deliver analytics projects to a high quality that meet internal stakeholders’ and clients’ requirements.
• Maintain a good working knowledge of statistical analysis techniques, both current and emerging.
• Effectively manage your own workload and be responsible for managing projects.
• Maintain a broad and deep understanding of quantitative research techniques to convincingly propose appropriate solutions to client problems.
• Develop an understanding of the possibilities and limitations of techniques and software packages.
• Promote new techniques and approaches, and continuously review external developments.
• Ensure high quality of all finished documents.
• Represent GfK’s Marketing Science expertise at internal and external conferences and workshops.

Requirements

About You

We are looking for someone with experience 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.

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)
  • Econometric modelling (program evaluation, forecasting, economic theory, panel data)
  • 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 Skills

• 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.

Application Instructions

[Application instructions not provided]