Role and Responsibilities:
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Leading and finalising the Marketing Mix Modelling (MMM) framework
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Refining and taking ownership of an A/B testing framework, ensuring rigorous experiment design and causal inference methodology.
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Automating marketing analytics pipelines, especially around incremental measurement and experimentation.
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Collaborating cross-functionally to support campaign evaluation across key platforms (e.g., Meta, Google).
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Working hands-on with complex, incomplete data sets to extract meaningful insights on campaign performance.
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Supporting ongoing projects in customer life cycle modelling and Lifetime Value (LTV) analysis.
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Contributing to strategic decision-making by translating data into actionable insights for marketing and leadership teams.
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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.
Contact Detail:
Harnham Recruiting Team