Data Scientist, Python, Machine Learning, Remote
Pubblicato il 04-10-2026 - Bending Spoons in Italia
At Bending Spoons, we're striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, agevolazioni customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.
For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact,
and progress their career at an exceptionally high rate. A few examples of your responsibilities Design and improve data pipelines. Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks. Ensure data correctness and scalability.
Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems. Develop internal data products and tooling. reporting engines, forecasting tools) used by product teams across the company. Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking. Leverage AI to accelerate work and uncover insights.
Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends. Given the necessary knowle