Marketing Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, SQL, A/B testing, and experience in eCommerce or marketing analytics. Proven experience with Robyn or Meridian is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
-
🗓️ - Date discovered
June 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Leicester
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Python #Leadership #PySpark #SQL (Structured Query Language) #Time Series #Spark (Apache Spark) #Databricks #A/B Testing #Data Science #R #Strategy
Role 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.
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.
