Job Description
SENIOR DATA SCIENTIST
* 3-MONTH CONTRACT
* HYBRID WORKING (Office in Leicester - Flexible after one month)
* £480 OUTSIDE IR35
About the role
This role focuses on marketing effectiveness and data science in the retail industry, with a strong emphasis on email campaign measurement, incremental value, and experimentation. The main responsibilities include finalising the Marketing Mix Modelling (MMM) framework, completing the A/B testing framework, and automating marketing analytics processes. The ideal candidate will have experience in causal inference, MMM, and experimentation.
We’re looking for a candidate with strong experience in marketing analytics to support three key initiatives:
* Marketing Mix Modelling (MMM): This is the top priority. The foundational framework is around 70% complete, and we’re now looking to finalize the modelling. Familiarity with tools like Meta’s Robyn and Google’s Meridian is highly desirable.
* A/B Testing Framework: The framework is approximately 80% built and ready to be taken into production. We need someone who can drive this across the finish line, with a focus on robust experimental design and accurate causal impact analysis.
* Automation of Analytics Pipelines: There is a clear opportunity to streamline and automate our marketing analytics workflows—particularly in the areas of experimentation and incrementality measurement.
Key Responsibilities:
* Finalising the MMM framework and modelling (70% complete)
* Building out the A/B testing framework
* Automating marketing analytics processes, particularly around experimentation
* Handling complex data and working with incomplete data
* Measuring campaign impact and refining marketing strategies
Tech Stack:
* Core: Databricks, SQL, Python, PySpark
* Experience of
* Nice to Have: R, dashboarding tools
Ideal Candidate:
* 4–5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment
* Proven experience in causal inference, MMM, and experimentation
* Strong communication skills and the ability to explain data-driven insights
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