Real, anonymous reports from people who interviewed for Data Scientist at Celebal Technologies, newest first and distilled into what to expect across the loop.
I went through a process that kicked off with a hackathon, and then I had a single technical assessment right after. The assessment felt like a standard DSA-style round, and once I cleared it, the rest turned into project-heavy technical interviews. I ended up in two technical rounds where the discussion leaned heavily on what I had included in my resume—one panel focused on parts of the projects and the technical details around them, and the other panelist brought in a different specialization aligned to the same work I had presented.
My process started as a full-day hiring drive and felt very structured from the beginning. I began with a technical assessment, then moved into two in-depth technical interview rounds that included live Python coding. The coding part wasn’t the only focus—those interviews also covered technical understanding and problem-solving in the same flow, so I had to switch between writing code and explaining how I was thinking.
Candidates typically start with a series of assessments that may include coding challenges, data science concepts, and even Kaggle competitions, which can serve as a significant gatekeeper for advancing in the process.
The interview process generally includes multiple technical rounds that focus on live coding, problem-solving, and discussions around candidates' previous projects, emphasizing a deep understanding of data science and machine learning principles.
Interviewers prioritize practical knowledge and real-world application of concepts, expecting candidates to explain their thought processes and methodologies rather than just recalling definitions or algorithms.
Candidates often encounter a final HR round that assesses cultural fit and background, typically following the technical interviews, although the depth of these discussions can vary significantly.
The overall difficulty of the interviews is generally perceived as average to moderately challenging, with candidates reporting a mix of straightforward and complex questions that test both foundational knowledge and advanced concepts.
Candidates are encouraged to communicate clearly throughout the process, with interviewers often focusing on how well candidates articulate their understanding and reasoning behind their answers.