Data Scientist

Requirements

• Significant experience as a Data Scientist, with a background in marketing analytics, ecommerce, or a loyalty or membership-driven environment
• Strong Python proficiency for data manipulation, statistical modelling, and machine learning, alongside advanced SQL skills and experience with dbt
• Solid grounding in statistical methods including regression, causal inference, and experimental design, with hands‑on experience building and interpreting A/B tests
• Practical experience building predictive models, particularly in retention or customer engagement contexts, with working knowledge of MLOps practices and model deployment pipelines
• Experience collaborating with CRM or lifecycle marketing teams, with the ability to shape model outputs into actionable recommendations
• The ability to communicate complex findings clearly to non‑technical stakeholders, and to build reusable data products that others can act on ...