Data Scientist applicants have rated the interview process at MORSE Corp with 2.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 56% positive. To compare, the company-average is 52.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 12 days to get hired, when considering 9 user submitted interviews for this role. To compare, the hiring process at MORSE Corp overall takes an average of 16 days.
Common stages of the interview process at MORSE Corp as a Data Scientist according to 9 Glassdoor interviews include:
Skills test: 31%
Phone interview: 23%
One on one interview: 23%
Background check: 8%
Group panel interview: 8%
Personality test: 8%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at MORSE Corp (Cambridge, MA)
Interview
spoke to a recruiter on the phone. Was friendly and just wanted to discuss my experience. Overall was a good experience. Not to difficult, and easy to talk to. I would recommend interviewing.
I applied online. I interviewed at MORSE Corp (Cambridge, MA)
Interview
45 minute phone call with recruiter, then 30 minute video coding interview with a data scientist, then in-person interview with CTO and 2 data scientists (around 60 to 90 minutes)
The first round was a 30 minute intro chat, the second was a longer 45 minute peer technical interview focused on programming in the language of my choice and logic problem solving questions
There are three rounds of interviews. The first one is a brief conversation with a recruiter, mainly focused on background, interests, and fit for the role. The next two are behavioral interviews that assess how you approach teamwork, problem-solving, and communication in different situations. The final round is a technical interview that tests your analytical and technical skills related to the position. Overall, the entire process is straightforward and conversational rather than overly difficult.