Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso The Hartford (Hartford, CT) nel mese di gen 2017
Colloquio
I received a call from a recruiter about 10 days after my application. She gave me some information about the company and scheduled a phone interview with a senior data scientist for the following week. The phone call lasted about 30 minutes. I have a background in the Physical Sciences so I was asked to talk about my research in not too technical terms. I was also asked why I want to work in the insurance industry and then one more technical question about building a predictive model. I was given the opportunity to ask questions about the company and the type of work that they do and I feel I learned a lot from it. The recruiter gave me a phone call a few working days later to let me know they would not pursue my application any further and gave me good feedback.
Both of the people I spoke with were very nice and the screening wasn't hard. I think I busted it mostly because of my lack of experience with interviews (this was my first phone interview ever), leading to my response for the modelling question being not as structured and technical as it should have been. I also think I could have chosen a better model.
Domande di colloquio [1]
Domanda 1
I was given a problem statement and was asked what type of model I would use, which independent variables, how I would validate the model etc.
Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso The Hartford
Colloquio
Typical data science interview, all conversation/project based, no live coding. Total of 3 interviews. Asked to describe previous projects, give an overview of methodologies used, tech used, ways of working. Left time to ask questions of the team as well. Second interview was more technical, how you'd approach a given problem. Third interview was more of a culture fit interview.
Domande di colloquio [1]
Domanda 1
Say we want to build classification model, predict class codes. Have descriptions, unique business summaries acquired from businesses websites, input data is business websites. How could you predict the correct class codes?
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso The Hartford (Hyderabad) nel mese di mag 2026
Colloquio
Initial Screening round via Hacker Rank. The HR called after a week, The first round of interview was with a person who is not interested to listen the introduction. As i hold many offers right now. This man who interviewed was not have patience to let to complete the code. Code was given when i started to write the solution he stopped explain how can you solve this, i explained. Another question, explain. We prepare and appearing for the interview having basic time limits. Please interview candidates if you strongly interested in our profile. the interview lasted only 20mins. it was 45 mins interview
Domande di colloquio [1]
Domanda 1
Pandas questions 1. That was a pandas question related to Group. They focus on GLM model and ask about the recent projects done and you tackle certain problems statements in DS.
long, very long. Probably met with 7 people. Was told at the end that they grade people and then only hire people who they think will be above the median score compared to who they already have and one person who is not the hiring manager has veto power based on what I have no idea. Whatever happened to yeah I like this person they are incredibly qualified, lets hire them? Thumbs down because I had to meet with a ridiculous number of people to not even get an offer. Felt like a science experiment.
Domande di colloquio [1]
Domanda 1
tell us about the coolest model you ever built. What is the future of data science? Why are you good, why are you bad etc...