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      Fractal

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      Senior Data Scientist Interview

      May 16, 2025
      Anonymous employee
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Fractal

      Interview

      The interview process typically begins with resume screening, followed by an initial HR call to discuss background and expectations. This is succeeded by technical assessments or assignments to evaluate role-specific skills. Shortlisted candidates then proceed to one or more rounds of technical or panel interviews, where problem-solving, communication, and cultural fit are assessed. The process concludes with a final discussion, reference checks if required, and offer rollout to the selected candidate.

      Interview questions [1]

      Question 1

      Previous company expereince and projects
      Answer question

      Other Senior Data Scientist Interview Reviews for Fractal

      Senior Data Scientist Interview

      May 6, 2026
      Anonymous Interview Candidate
      New York, NY
      No offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Fractal (New York, NY)

      Interview

      Client round was more tough. Screening also was around Reinforcement learning. Which I happened to pass. But cannot pass the client round second time. The interview process was around Artificial Intelligence and RAG.

      Senior Data Scientist Interview

      Oct 14, 2025
      Anonymous employee
      New Delhi
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied through an employee referral. The process took 1 week. I interviewed at Fractal (New Delhi) in Sep 2025

      Interview

      The whole process took almost a week, including 2 Technical interviews, 1 HR round and offer release. Many thanks to Jesvin for making all this possible in such a short period of time. Coming to the interview 1st round started with basic Python questions and data manipulation, followed by questions on previous role, projects, agentic frameworks, RAG, and retrievers. 2nd round was more in-depth, with a focus on details about Agent implementations, MCPs, Evaluation and improvement techniques. 3rd round (HR) was much simpler, with questions related to previous work experience. Overall, the process was quick, and every interviewer was supportive and gave feedback properly.

      Interview questions [1]

      Question 1

      Difference between RAG and Agentic RAG How to evaluate and improve the performance of a deployed model/agent
      Answer question

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