Research Scientist applicants have rated the interview process at Yahoo with 2.8 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 56% positive. This is according to Glassdoor user ratings.
Candidates applying for Research Scientist roles take an average of 39 days to get hired, when considering 9 user submitted interviews for this role. To compare, the hiring process at Yahoo overall takes an average of 26 days.
Common stages of the interview process at Yahoo as a Research Scientist according to 9 Glassdoor interviews include:
Phone interview: 30%
One on one interview: 20%
Presentation: 20%
Background check: 10%
Skills test: 10%
Drug test: 5%
Group panel interview: 5%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 6 weeks. I interviewed at Yahoo
Interview
The interview process included two 1 hr phone interviews and one full day on-site interview. Phone interviews were mainly research based questions while on-site interviews were both research based and technical. I can say that in comparison with other interviews, the Yahoo interviews were more professional and definitely suited the position much more than other interviews. They avoid all those stupid whiteboard codings and stick to fundamental questions and research based easy to very complex scenario questions. Although very tiring, I enjoyed my onsite interviews. They were all bright and smart people and very professional and they make you feel that you are on the same page with them. I would say 50-60% of my interview was research questions (easy to difficult) and 40-50% are more technical questions. The technical questions were about machine learning, algorithms and optimization.
Interview questions [1]
Question 1
How will you encode the world's knowledge for learning algorithms if 1) you have unlimited human resources 2) you have to do it automatically with no human resource.
one round screening machine learning plus coding (medium) Then give a 45 min job talk plus 10min QA Three rounds of follow-up machine learning and research interviews, one round manager interview.
I applied in-person. I interviewed at Yahoo (Sunnyvale, CA) in Apr 2017
Interview
One day long:
Mixture of probability questions and coding. Coding was simpler that some other places. just linked list, arrays, and trees. No DP. Probability questions were mostly easy. Some tricky though. The last interview was more into technical details of a subject that was specialty of interviewer. It was fast and a bit aggressive.
Interview questions [1]
Question 1
- Write order traversal using stacks (not machine's and recursively).
- Three sum with dulicates.
- Finding array's max range in O(N).
I applied through an employee referral. The process took 3 weeks. I interviewed at Yahoo
Interview
I got a phone interview with a hiring manager. There were no technical questions asked, just some general questions about my past research, what methods were used, etc., followed by very general Q&A about what their team is doing. I realized quickly that it was not a good match. Turned down after a week after the interview.