The interview process was well-structured and professional. After submitting my application online, I received an email from HR within a week to schedule an initial screening call. The recruiter spent about 20 minutes reviewing my background, discussing my interest in the role, and confirming my availability and salary expectations. A few days later, I was invited to a technical/skills interview via Zoom. This round focused on my analytical and problem-solving abilities. I was asked to walk through a recent project, explain my approach to data cleaning and modeling, and interpret outputs from a regression model. The interviewer also included one short case question about how I would improve model accuracy using feature selection and cross-validation. The next stage was a behavioral interview with the hiring manager and a team member. They focused on cultural fit and teamwork—questions like “Tell me about a time you handled conflicting priorities” and “How do you communicate technical results to non-technical stakeholders?” Finally, I had a final round panel interview, where I met with two senior leaders. They wanted to understand my long-term goals and how I could contribute to the company’s data-driven strategy. The whole process took about three weeks. Everyone I met was friendly, responsive, and transparent about next steps. They made sure to give feedback quickly, and I appreciated the balance between technical depth and personality fit.