Data Science applicants have rated the interview process at ExxonMobil with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 83% positive. To compare, the company-average is 73% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 14 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at ExxonMobil overall takes an average of 28 days.
Common stages of the interview process at ExxonMobil as a Data Science according to 6 Glassdoor interviews include:
Phone interview: 23%
One on one interview: 23%
Presentation: 15%
Group panel interview: 15%
Skills test: 8%
Personality test: 8%
Background check: 8%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. The process took 4 weeks. I interviewed at ExxonMobil in Oct 2016
Interview
Initiated by recruiters at a career fair; signed up for an interview slot there. First interview was on campus then got contacted again to have one over the phone. Both were mostly behavioral, and the most technical questions would just refer to projects listed on resume.
Interview questions [2]
Question 1
How did you implement (insert project here) and why did you choose to do it this way?
I applied through a recruiter. I interviewed at ExxonMobil (Bengaluru)
Interview
questions asked from resume, problems given from company data working on NLP, time series forecasting and machien learning algorithms. they asked about recent advancements in NLP and how end to end product management done
Interview questions [1]
Question 1
in machine learning regression problem, can R2 be negative?
ExxonMobil's interview process includes application, screening, online assessments, technical and behavioral interviews, panel interviews, and a final interview, followed by background checks and an offer. It varies by role and takes weeks to com
The following were involved in the selection process: 1. An online exam for the technical and aptitude rounds (verbal, logical, and quantitative). For my role, mostly deep learning and computational-based questions were asked. Aptitude was easy. 2. Group discussion for those who passed the written exam. My session's theme was "Can India become a 5 trillion dollar economy by 2024?". There were 6 participants in my group, and B.Tech and M.Tech were mixed. 3. The last round was the interview round. Both technical and HR questions were asked. They were very friendly and cooperative. I was asked questions about CFD, numerical methods, and deep learning. All the questions were mostly resume-based. For HR, I was asked a lot of team management and leadership-based questions.
Interview questions [1]
Question 1
Basic CFD and ML/DL questions. A lot of HR questions