Data scientist Milan
Pubblicato il 06-10-2026 - Bending Spoons in Firenze
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. To achieve this objective, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator.
La descrizione completa del lavoro illustra tutte le competenze, l'esperienza pregressa e le qualifiche che i candidati dovrebbero possedere.
A few examples of your responsibilities
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- Collaborate with Product and Business teams to determine the most pressing questions that big data can help answer, and then figure out how to uncover those insights.
- Query and analyze massive sets of usage data to identify product-improvement opportunities and actionable insights to profoundly impact our product strategy and roadmap.
- Create brief, high-quality reports to explain your findings and discuss their implications with the relevant team members.
- Screen the app stores and study competing products in search of insights and ideas we could learn from.
- Help direct the development of our technologies devoted to the acquisition, storage, and manipulation of big data, supporting our efforts to constantly break new ground in this field.
What we look for
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- Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure