Marketing Data Scientist

Role and Responsibilities: Leading and finalising the Marketing Mix Modelling (MMM) framework Refining and taking ownership of an A/B testing framework, ensuring rigorous experiment design and causal inference methodology. Automating marketing analytics pipelines, especially around incremental measurement and experimentation. Collaborating cross-functionally to support campaign evaluation across key platforms (e.g., Meta, Google). Working hands-on with complex, incomplete data sets to extract meaningful insights on campaign performance. Supporting ongoing projects in customer life cycle modelling and Lifetime Value (LTV) analysis. Contributing to strategic decision-making by translating data into actionable insights for marketing and leadership teams. Navigating the intricacies of working across third-party clients to ensure adaptability and broad marketing perspective. Requirements 4-5 years of experience in data science, ideally in eCommerce or marketing analytics. Proven experience working with either Robyn or Meridian Strong skills in Python, SQL, and working with large-scale data (Databricks, PySpark). Proven experience with MMM, A/B testing, and causal inference. Comfortable with experimentation design, time series analysis, and working with imperfect data. Bonus: Experience with R and dash boarding tools. Clear communicator with the ability to translate data into strategy.