Data Scientist applicants have rated the interview process at Paperless Post with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 34.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 55 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Paperless Post overall takes an average of 33 days.
Common stages of the interview process at Paperless Post as a Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 100%
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 2 weeks. I interviewed at Paperless Post (New York, NY) in Jan 2017
Interview
The first round interview was with a junior data scientist, and it was half behavioral and half technical. For the behavior part, the interviewer asked me the typical "Tell me about yourself" question, about my internship experiences and why I want to work at Paperless Post. For the technical part, the interviewer tested me on the basics of Python (e.g. What are the assumptions in a recursion?) and SQL (e.g. What's the difference between HAVING and WHERE clause? What is a LEFT JOIN?).
I applied through an employee referral. The process took 3 months. I interviewed at Paperless Post
Interview
Got introduction in career fair then applied online. Got a response a month later. Came in from out of town twice for on-site interviews. One with data team and other with people in partnering departments. Very positive experience during both rounds of interview. At the end of last interview recruiter assured me that they will get back to me by end of week, which they didn't. Responded to my follow-up emails saying that they will get back to me asap.
They never got back to me and never responded to any more follow-up emails (2 went unanswered). It felt very disrespectful to keep me waiting and never actually give an answer, especially after I took time and money to travel to NYC twice. That behavior is even more surprising coming from a company whose business model revolves around courtesy.