# Davide Facchinelli :When math leads to the human **Authors:** Ines Hocine **Categories:** Profiles **Last Updated:** 2026-02-28T18:22:08.402Z **Reading Time:** 4 min read --- ## Summary Davide’s journey, though rooted in a classical mathematics and data science background, evolved through recruiting and teaching into a career centered on human interaction and logical clarity rather than pure technical execution. --- At first glance, Davide’s path looks like the classic trajectory of a brilliant mathematician: a bachelor in mathematics, a master in mathematics, then a master in data science. But behind the formal degrees lies a story built on curiosity, intuition, and an unexpected love for people. # From Equations to Recruiting: The Unplanned First Career After years of intense studies, Davide felt a growing desire to try something beyond pure technical work. “I was a bit tired of technical stuff. I wanted to try something else” he explains. That “something else” happened to be recruiting at Bending Spoons, a company known for its speed, ambition, and high expectations. Originally hired into a rotation (six months recruiting, six months data analysis), Davide changed the plan after only four months: “I liked recruiting so much that I said: either you keep me recruiting or I quit.” They kept him. And for years he found himself interviewing candidates for highly technical positions, writing coding tests, and doing what he unexpectedly loved most: meeting people. “I met four new people every day. I still have friends from my candidates.” But Bending Spoons is intense. “They give a lot, but they ask a lot. At some point it became too much for me personally.” That’s when he moved into freelancing, splitting his time between independent recruiting and one-to-one university teaching, including a remarkable 14-month project guiding a student from architecture to engineering, three hours a day. # Teaching: The Perfect Balance Between Social Energy and Pure Logic Davide never planned to become a teacher. “It happened,” as he said, but once it happened, everything suddenly made sense: it was a place where he could combine two things he genuinely loved, logical reasoning and human interaction. “I like mathematics, but I don’t like working with it. Teaching lets me talk about math without having to use it as a job. And I like interacting with people. I am social in some sense.” His passion for math goes back incredibly far, to age four. His father would try to make him fall asleep with mental calculations. “It was a terrible idea, because I loved them. My father fell asleep before me.” The attraction wasn’t just to numbers. It was to the structure itself. “My mind works with the same structure that mathematics uses. It’s a formal logical discipline. If something is true, it’s true. If something is false, it’s false. Life is never like that.” This clarity is what he tries to transmit in the classroom. But he knows students don’t all think the same way, a lesson he learned from years of interviewing hundreds of candidates. “I explain the same thing in three different ways because I don’t know who will understand which version.” # A Recruiter’s Eye for Human Nature Years of interviewing gave Davide enough anecdotes to fill a book, especially about CVs. “Writing a nice CV is important, but don’t go overboard,” Some candidates did go overboard: one sent a cover letter with a background full of boats for no reason another inserted a photo of his dog in the middle of the text another sent a CV made only of a grid of keywords like “Java”, “ethnic party manager” The last candidate, he recalls, applied twice each time asking for a different salary, both lower than what the company was offering. Math, AI and the Future When asked how mathematics will evolve in the age of data and AI, Davide doesn’t hesitate: « There are two sides of mathematics. One is cultural for the artistic people who enjoy pure reasoning. That will stay untouched. And the other one is the practical side »,this one will undergo a deep transformation. “For now, people use math to compute things, data analysis, modelling, statistics. In the next 15 years, a lot of this will disappear because machines will do it automatically.” But that doesn’t mean math disappears. It shifts. “You will need fewer people, but the ones needed will require much stronger skills, the people building and improving the giant models.” “Mathematics gives certainty. Life doesn’t. That’s why I love it.” ## Key Takeaways 1. Teaching through logic 2. People-driven career 3. Fewer, stronger experts --- *Article from [Albert's Deep Dive](https://deepdive.albertschool.com) - Albert School's Journal*