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# Lead Data Scientist - Marketing Sciences

- **Company:** Hackajob Ltd
- **Location:** Enderby, UK
- **Experience:** Expert
- **Salary:** £80,000.0
- **Contract:** Permanent contract
- **Skills:** Software Documentation, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SQL Databases, Pyspark, Information Technology, Looker Analytics
- **Published:** September 27, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5899595160

## About the Role

* Proven experience in applied data science or analytics, including leadership or mentoring experience
 * Bachelors, masters, or higher education degree in Statistics, Computer Science, Data Science, Economics, or a related field
 * Strong expertise in marketing analytics, including building Marketing Mix Modeling (MMM) models using Meridian, Robyn, and/or PyMC; multi-touch attribution; and customer lifecycle modeling
 * Proficiency in SQL, Python, R, PySpark, and dashboarding tools such as Power BI or Looker
 * Experience running GeoLift tests, causal inference models, and other forms of experimental design
 * Solid foundation in machine learning, statistics, and econometric modeling, with strong analytical and problem-solving skills
 * Strong communication skills and the ability to translate complex data insights into actionable business strategies
 * Preferred experience in eCommerce, technology, or marketing
 * Strong Python, SQL, and PySpark skills, considerable knowledge of test design, implementation, and reporting, initiative, and the ability to build strong working relationships

## Description

* Work closely with marketing teams and agencies to understand challenges and opportunities in eCommerce marketing
 * Lead the design, development, and deployment of data science solutions that inform marketing strategy and execution
 * Build Marketing Mix Modeling (MMM), predictive modeling, lifetime value prediction, churn analysis, marketing attribution, and channel optimization solutions
 * Partner with marketing stakeholders to test, learn, and optimize campaigns using experimental design and/or causal inference methods
 * Create dashboards and data products that enable self-service analytics and real-time insights for marketing teams
 * Drive data quality, model governance, and documentation standards across the marketing science function
 * Manage end-to-end projects and mentor data scientists

Technologies:

 * Looker
 * Machine Learning
 * Marketing
 * Power BI
 * Python
 * PySpark
 * SQL


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