Job Description
💙 About Bounce...
Bounce is building cloud storage for the physical world, starting with the largest global luggage storage network in existence. Bounce’s marketplace connects travelers with 30,000+ small business locations worldwide for hyper-local short term baggage storage. With more locations globally than Burger King, and more locations in New York City than Starbucks, Bounce has served 3M+ users and stored 10M+ bags, and paid over $10M to small business partners.
To achieve this, Bounce is a fast-paced and scrappy team. We believe that experimentation fuels innovation, so we move quickly, testing new ideas and adapting in real time. If you’re ready to make an impact in a high-energy, close-knit, and collaborative environment - Bounce is the place where you can move fast, think big, and shape the future of travel. Join us as we make the world a lighter, more accessible place! Bounce has been named the Inc5000’s fastest-growing travel company in the USA in 2024 and is proudly backed by leading Silicon Valley investors, including Andreessen Horowitz, General Catalyst, and Sapphire. (Learn more about Bounce's Series B HERE and also learn about our Japan Expansion HERE)
About the role…
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