While the recruiter said the first round would be focused on ML and NLP and would also involve coding in an IDE, the first round followed more of a case study format and involved no coding. The second round consisted of two questions: 1) a leetcode question testing merged intervals, 2) a non-DSA question involving writing pseudo code. Had a highly postiive experience with both interviewers but found the recruiter to be unresponsive and unprofessional. After the final interview, the recruiter stopped responding and I only received an automated rejection email after following up.
Interview questions [1]
Question 1
The case study asked: "Our company delivers insights on negative news to clients by curating a lage-scale news corpus. This corpus consists of millions of documents from various domains in English, with basic metadata available. Recently a client raised concerns that many of the articles we provide-such as gossip, sports, and other non-negative topics-are irrelevant to their needs. To address this feedback, we want to develop a model that automatically filters out these articles. How would you approach designing and implementing such a solution?"
The first interview was a phone call from the recruiter, and the next interview was 45 min interview with Senior Data Scientist about the previous projects and problem solving --> technical interview
I applied online. The process took 3 weeks. I interviewed at Quantifind in Jul 2022
Interview
Phone Screen -> Behavioral -> 3 Technical -> Founder Chat
Coding Technical Interviews (2/3) covered SQL easy-mediums, with some where you would implement the same query but in Python. The other tested ML knowledge using a case study format.
Recruiters were super friendly, helpful, and supportive throughout the entire process! Interviewers were kind and thorough in answering my questions too.
Interview questions [1]
Question 1
A restaurant comes to you for help because of their recent decline in customers. Given text data in the form of Yelp reviews, how would you help a restaurant improve?