Marketing Data Scientist

Introduction Ask & Embla is looking for a Marketing Data Scientist who can turn that data into a genuine competitive advantage. You'll be embedded in the marketing team, owning the analytics infrastructure that drives how we acquire, retain, and grow our customer base across both brands. This is a role for someone with a commitment to excellence in how they work with data and a desire to help build something extraordinary from the inside. What You'll Do Own marketing analytics across both brands, from data collection and modeling to insight generation and reporting Build and maintain dashboards and reporting frameworks that give the marketing team clear, actionable visibility into performance Develop customer models: LTV, churn prediction, segmentation, propensity to buy, and more Translate complex data into clear recommendations that non-technical stakeholders can act on Partner with paid, CRM, content, and campaigns teams to design experiments, measure impact, and optimize spend Define and maintain the marketing data taxonomy — events, attributes, and metrics that everyone agrees on and trusts Identify trends in customer behavior, market signals, and campaign performance before they become obvious Who You Are 3+ years in a data science or advanced analytics role, ideally within a marketing or growth function Strong in SQL and Python; comfortable building models, not just running reports Experience with ecommerce or DTC data structures — you understand the customer journey from first click to repeat purchase Able to communicate clearly with non-technical teammates — insights only matter if people can use them You don't wait to be asked — you proactively surface what the data is telling you Comfortable in a lean environment where you'll be building the foundation, not inheriting one Genuinely curious about customers — the numbers are interesting because the people behind them are Open to using AI as a tool for process improvement and ways of working — ideally AI-native in how you think and operate