In a personal essay, Eugene Yan, who leads data science at Lazada, describes his path from a psychology graduate to his current position. He credits the advancement to a combination of deliberate effort, numerous setbacks, and chance opportunities. The narrative offers a counterexample to the idea that data science requires a traditional technical background from the outset.
Yan's account is candid about the role of failure, noting that many attempts did not succeed. He also acknowledges that luck played a part in his trajectory. For readers considering a move into AI and ML from unrelated fields, the essay suggests that perseverance and adaptability can compensate for a lack of formal quantitative training, though it does not promise a specific formula.
Because this is a single personal account, it cannot be used to draw broad conclusions about career pathways. However, it provides a concrete example of how one individual navigated the transition and reached a leadership role in the field.