Marketing Data Scientist...

Job Description 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.