The role involves delivering analytics on unique data sets using a modern technology stack within an agile team environment. Responsibilities include managing data science solutions throughout their full life cycle, from initial brainstorming and design to implementation and maintenance. The individual will advise internal and external clients in the media sector by translating business requirements into analytical solutions. The work requires performing feasibility checks and productizing models within the existing system landscape. Additionally, the role involves contributing to communities of practice and communicating complex data concepts to various stakeholders.

Candidates must hold a Master’s or PhD in Statistics, Data Science, Mathematics, Computer Science, or a related field. At least three years of experience in data science is required, with a preference for backgrounds in marketing or customer analytics. Applicants need proven expertise in developing models for causal inference, clustering, classification, regression, and predictive analytics. Proficiency in Python or R, SQL, and version control systems like Git is essential, alongside strong analytical and communication skills.