Full-Stack Data Scientist

💙 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… A marketplace is only as good as the supply behind it. As a Senior Full Stack Data Scientist on the Supply & Core pillar, you will own the data that powers Bounce's network of 20,000+ partner stores — where we should grow, which partners perform, and how we keep marketplace quality high as we scale into new markets. You'll work hand-in-hand with the Supply Team, Revenue Operations, the Core Cluster, and Partner Success to model supply gaps, forecast capacity, and build the operational frameworks our launchers and ops specialists rely on every day. This is a builder's role at the heart of Bounce's marketplace: your models decide where the next stores open, your dashboards tell us which partners need attention, and your data quality work is what makes every metric in the company trustworthy. You will play a critical role in the success of Bounce! Where you come in… Partner with Supply, RevOps, the Core Cluster, and Partner Success to translate analytical insights into action Model supply gaps, supply quality, and the alignment of supply with demand signals (feeding tools like Felt and the supply gap model) Leverage data to track key operational metrics in dashboards, develop expansion strategy, and forecast capacity for new and existing markets Establish operational KPIs and build frameworks to monitor the performance of store partners and partner onboarding Build modern, internal self-serve data capabilities to support supply and operations teams Drive observability and data quality frameworks to ensure stakeholder trust in metrics across the marketplace Manage big data infrastructures and cloud-based analytics platforms Help develop and maintain our analytics pipelines Improve our Data-Focused Agentic Layer to make operational insights self-serve for field and ops teams Advocate for data and data-driven decisions across the supply 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 operational, marketplace, or supply-side analytics: capacity forecasting, geospatial/location modelling, partner/vendor performance frameworks, or supply–demand matching Experience with data visualization and orchestration tools such as Amplitude, Tableau, Hex, Airflow Comfortable around data warehousing concepts, big data technologies, and analytics platforms; experience building data quality and observability frameworks is a plus 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