The role involves developing next-generation retail measurement solutions by leveraging internal, client, and third-party data. The individual will participate in the entire product creation process, from initial ideation and proof-of-concept to prototyping and productionalization. Responsibilities include defining business problems as scientific research tasks and managing the roadmap for research and development. The position requires building and testing statistical and analytical models using big data to address specific client needs. Additionally, the role entails collaborating with cross-functional teams to translate client requirements into actionable products and documenting solutions for the technology team.

Candidates must possess a Bachelor’s, Master’s, or higher degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. A minimum of six years of experience in data science or research is required, specifically with a background in independently leading end-to-end research projects. Proficiency in Python and its common data science libraries is essential, alongside experience with cloud computing, storage software, and ETL processes. The role also requires extensive knowledge of statistical and machine learning methodologies.