Lead Data Scientist - Marketing Science

We are looking for a Lead Data Scientist to join the eCommerce Data team! Based from NEXT Head Office in Enderby, Leicestershire with a competitive salary range and great benefits.

About the Role

eCommerce Data provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping on our site and in general.

As a Lead Data Scientist within Marketing Science at NEXT, you will build data-driven solutions through state-of-the-art machine learning, causal inference, and experiment design to measure true impact and make impactful recommendations to the business. As a lead, you are expected to handle end-to-end projects and mentor junior/senior data scientists whenever relevant. What else is involved?

What you'll take on

• Working closely with marketing teams and agencies to understand challenges and opportunities in e-commerce marketing.
• Proactively lead the design, development, and deployment of data science solutions that inform marketing strategy and execution.
• Build Marketing Mix Modeling (MMM), predictive modelling, lifetime value prediction, churn analysis, marketing attribution, and channel optimisation.
• Partner with marketing stakeholders to test, learn, and optimize campaigns through experimental design and/or causal inference methods.
• Create dashboards and data products that enable self-serve analytics and real-time insights for marketing teams.
• Drive data quality, model governance, and documentation standards across the marketing science function.

What you'll bring

• Proven experience in applied data science or analytics, with 2+ years in a leadership or mentoring role.
• Strong expertise in marketing analytics, building MMM model via Meridian, Robyn and/or PyMc, multi-touch attribution, customer lifecycle modelling.
• Proficiency in SQL, Python, R, PySpark and dashboarding in PowerBI/Looker.
• Experienced running Geolift test, causal inference model, and other forms of experimental design.
• Solid foundation in machine learning, statistics, econometric modelling, analytical and problem solving skills
• Strong communication skills with the ability to translate complex data insights into actionable business strategies.
• Preferred experience in the e-commerce, technology or marketing industry.
• Bachelor’s or Master’s degree or higher education in Statistics, Computer Science, Data Science, Economics, or related field.

So if you’re an expert in Data Science, have strong Python/SQL/Pyspark skills and considerable knowledge in test design, implementation and reporting, can work with initiative and can build great working relationships within the business, this is the place for you – and your career.

Benefits