Full-Stack Data Scientist - Demand Growth

Department: Data

Location: Portugal

Employment Type: FullTime

💙 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