Overview
The Senior Data Scientist will specialize in marketing analytics, focusing on developing models and optimization tools to enhance marketing decision-making processes. Collaborating with cross-functional teams, this contractor will leverage advanced statistical techniques and causal inference methods to analyze the impact of marketing activities and optimize budget allocations. The role aims to provide insights through data-driven recommendations that improve return on investment across various channels.
Responsibilities
- Develop analytical models to understand the impact of marketing activities.
- Design experiments and frameworks to measure incremental value across channels.
- Build optimisation tools to guide budget allocation and improve return on investment.
- Apply advanced statistical and causal inference methods to separate organic performance from paid effects.
- Work with relational and graph-based data to uncover links between audiences, campaigns, and outcomes.
Requirements
- Several years of experience in data science, econometrics, or marketing analytics.
- Strong knowledge of statistical modelling and causal inference techniques.
- Practical experience with optimisation methods and experimentation.
- Hands-on experience with marketing mix modelling and media attribution models.
- Proficiency in Python and common machine learning or statistical libraries.
- Familiarity with graph databases or similar tools for complex data relationships.