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 eitherRobyn 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.