I interviewed on zoom with three different interviewers. The first was talking to a recruiter about interview processes and why I am applying and going over my resume. The second was with a quant researcher about my resume, past research and domain knowledge and technical questions. The third round was with another quant researcher about past research and some more technical questions. I didn't proceed after that.
Interview questions [1]
Question 1
statistics and regression questions and some math brainteasers
I applied through other source. The process took 3 months. I interviewed at Two Sigma (New York, NY) in Jan 2019
Interview
I applied by directing writing to HR of the company. Almost a month after applying, they gave a 3-hour HackerRank coding test which had 2 questions. Both were about data analysis: knowledge of Pandas or SQL could've been helpful. I cleared that test. Over a month after I was done with the test, they scheduled me for a 30-minute phone interview. The interviewer was nice and on time. He asked me to explain a project of my choice which involves data. Since I am switching from biological research into data science, my projects were only vaguely related to data science. I described one of my projects and that took almost 20 minutes of the interview. In the time remaining, he asked me a few questions about linear regression. They felt like textbook questions. I could answer most of them. They responded next day saying that they shall not continue with the process.
Interview questions [1]
Question 1
Estimate the error in linear regression from beta.
The interview process typically starts with conversations with team members, followed by three rounds of technical interviews focused on data analysis, coding, and statistics. Each round includes follow-up questions that probe deeper into the candidate’s reasoning, methodology, and ability to apply concepts under realistic problem-solving scenarios.
Interview questions [1]
Question 1
one question about citi bike problem, one about correlation
Interview mostly consisted of conceptual ML questions and general experience, with no coding. The interviewer was super nice, but they were looking for more experienced candidates, which my years of experience didn’t quite qualify me for.
