Full-Stack Data Scientist

Every booking on Bounce starts with demand — a traveler discovering us, converting, and coming back. As a Senior Full Stack Data Scientist on the Growth & Demand pillar, you will own the data behind how we acquire, convert, and retain customers. You'll work shoulder-to-shoulder with our Growth org — the Acquisition Pod, the Conversion Pod, and lifecycle/CRM — turning marketing spend and funnel behavior into models, experiments, and decisions that move the top line.

This is a high-leverage role for someone who is equal parts scientist and builder: you'll write the attribution models that tell us which channels actually work, build the A/B testing tooling our product teams rely on, and advocate relentlessly for data-driven decisions across the growth organization. You will play a critical role in the success of Bounce!

WHERE YOU COME IN…

- 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

YOUR PROFILE…

- 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