Full Stack Data Scientist

At Bounce (Permanent), in Lisbon, Portugal

Expires at: 2026-09-01

Remote policy: Partial remote

Decisions are at the foundation of every Bounce experience. As a Full Stack Data Scientist 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 achieve 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 Visualization. You will play a critical role in the success of Bounce!

Where you come in..

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

Main requirements

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

Comfortable with 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

Ability to provide strategic guidance to senior leadership based on data-driven insights

Experience supporting product teams by developing A/B testing tooling and underlying data

Ability to implement sophisticated attribution models and customer segmentation frameworks to optimize marketing ROI and personalization capabilities

Ability to build modern, internal self-serve data capabilities to support business operations

Experience implementing AI and machine learning solutions at scale

Ability to manage big data infrastructures and cloud-based analytics platforms

Experience driving observability and data quality frameworks to ensure stakeholder trust in metrics