Responsibilities
- Partner with the Growth org (Acquisition, Conversion, and lifecycle/CRM) to translate analytical insights into action
- Model customer acquisition paths and build sophisticated, multi-touch attribution models to optimize marketing ROI across paid, SEO, affiliate, and influencer channels
- Build and own the A/B testing tooling and the underlying experimentation data layer that product teams depend on for funnel and checkout optimization
- Develop customer segmentation and personalization frameworks that power lifecycle messaging and CRM journeys
- Track and forecast demand-side KPIs — CAC, LTV, conversion rate, retention — in self-serve dashboards
- Build pricing intelligence algorithms that enhance profitability and explore data monetization opportunities
- Help develop and maintain the analytics pipelines that feed growth reporting
- Improve our Data-Focused Agentic Layer to make demand insights accessible across the company
- Advocate for data and data-driven decisions across the growth organization
- Be an owner, taking a personal stake in the success of the product and the team
Requirements
- Degree in a quantitative field such as statistics, economics, math or engineering, or relevant work experience
- 5+ years of industry experience in Data Science or similar
- Strong track record with marketing/growth analytics: attribution modelling, experimentation design (A/B testing), customer segmentation, or LTV/CAC modelling
- Experience with data visualization and orchestration tools such as Amplitude, Tableau, Hex, Airflow
- Comfortable around data warehousing concepts, big data technologies, and analytics platforms
- Knowledge of Agentic Tooling: Claude, Jules or Codex are a must
- Strong oral and written communication skills, and the ability to collaborate with and influence cross-functional partners
- Avid learner and practical problem solver
- Professional proficiency in English, written and spoken
