The role involves driving the definition and support of new product development and improvement initiatives within the research team. The position focuses on innovating data processing methods for retail measurement and automating existing statistical procedures. Responsibilities include planning and executing innovation initiatives, prototyping solutions for research and development, and conducting test-driven development of scalable data processing applications. The individual will collaborate with developers and engineers while engaging with stakeholders to manage project scope and outcomes. Additionally, the role requires delivering high-quality documentation of methodologies and supporting operations teams.

Candidates must possess a Master degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. A minimum of 5 years of relevant work experience is required. Applicants need extensive expertise in trend analyses, multivariate statistics, sampling, bias reduction, and data aggregation techniques. Proficiency in Python, big data processing solutions, cloud computing, and containerization tools like Docker is essential.