I was in the process of interviewing for a data science position at a tech company, and it involved several stages. It began with a phone screening where I talked about my background and why I was interested in the role. Then I had to complete a technical challenge that tested my skills in Python, statistics, and data manipulation. After that came the behavioral interview, where I shared examples of how I work with teams and solve problems. I was given a case study as well, which involved analyzing a dataset and presenting insights as if I were pitching to stakeholders. The final round was more intense—I met with several team members and had to explain how I’d contribute to their projects.

‏A personal interview about yourself and after a professional interview about the about the material related to the job, interesting questions that develop the thinking and require logic and knowledge. An important recommendation to learn before me and go over the material