Marketing Data Scientist

JR United Kingdom; East Midlands; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading company in eCommerce is seeking a Data Scientist with experience in marketing analytics to enhance their Marketing Mix Modelling (MMM) framework. This role involves automating analytics pipelines, collaborating with cross-functional teams, and translating data into strategic insights. Ideal candidates should have 4-5 years of experience and strong skills in Python and SQL.

Qualifications

• 4-5 years of experience in data science or marketing analytics.
• Proven experience with MMM and A/B testing.
• Ability to work with large-scale data sets.

Responsibilities

• Leading and finalising the Marketing Mix Modelling (MMM) framework.
• Automating marketing analytics pipelines.
• Collaborating cross-functionally to support campaign evaluation.

Skills

Python

SQL

Causal Inference

A/B Testing

Time Series Analysis

Data Analysis

Communication

Tools

Robyn

Meridian

Databricks

PySpark

R

Job description

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Job Views:

7

Posted:

10.06.2025

Expiry Date:

25.07.2025

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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.