Full-Stack Data Scientist

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)

Decisions are at the foundation of every Bounce experience. As a Full Stack Data Science you will work in a dynamic environment, embracing moving quickly to ensure data is at the heart of Bounce’s products and decision-making.

The focus of this position will be on interacting with various cross functional teams and stakeholders at Bounce. You will be performing analysis and creating models that help each Bounce team achieving our goals. You will also help analyze overall business trends, look for and explore key insights. You should have a deep understanding of Machine Learning, Data Analytics and Viz. You will play a critical role in the success of Bounce!

• Partner with cross functional teams and respective stakeholders to translate analytical insights into action

• Leverage data to track key operational metrics in dashboards, develop an expansion strategy, and forecast capacity

• Establish operational KPIs and build frameworks to monitor the performance of store partners

• Help develop and maintain our analytics pipelines

• Advocate for data and data-driven decisions

• Improve our Data Focused Agentic Layer

• Be an owner, taking a personal stake in the success of the product and the team

• Experience with data visualization and orchestration tools such as Amplitude, Tableau, Hex, Airflow.

• Comfortable around the 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 ability to collaborate with and influence cross-functional partners

• Avid learner and practical problem solver

• Provide strategic guidance to senior leadership based on data-driven insights.

• Support product teams by developing A/B testing tooling and underlying data.

• Implement sophisticated attribution models and customer segmentation frameworks to optimize marketing ROI and personalization capabilities.

• Build modern, internal self-serve data capabilities to support business operations.

• Implement AI and machine learning solutions at scale.

• Manage big data infrastructures and cloud-based analytics platforms.

• Drive observability and data quality frameworks to ensure stakeholder trust in metrics.