Sr Data Scientist applicants have rated the interview process at C3 AI with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 27% positive. To compare, the company-average is 34.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Sr Data Scientist roles take an average of 14 days to get hired, when considering 11 user submitted interviews for this role. To compare, the hiring process at C3 AI overall takes an average of 33 days.
Common stages of the interview process at C3 AI as a Sr Data Scientist according to 11 Glassdoor interviews include:
Phone interview: 24%
One on one interview: 24%
Presentation: 14%
Skills test: 10%
IQ intelligence test: 10%
Group panel interview: 5%
Background check: 5%
Personality test: 5%
Drug test: 5%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at C3 AI (Redwood City, CA) in Dec 2024
Interview
I applied online and got the recruiter call within a Week. Got the coding assessment in the evening after the recruiter call and the assessment had some normal ML questions with 2 coding questions based on Data Science.
Then they scheduled the behavioral round (technical walkthrough round) with the senior manager and asked about my experience and resume walkthrough. There were some tough questions on Reinforcement Learning and LLMs. Cleared the round.
Later they scheduled 3 back-to-back technical rounds (2 technical, 1 coding). 1st Technical: Basic ML, Reinforcement Learning, RAG, LLM; 2nd Technical: ML System Engineering Scenario based question; 3rd Coding: 2 codes with Leetcode Semi-Hard and Hard difficulties. All went well but I got rejected after the 3 round without any particular reasoning and received an auto-generated rejection email.
There is a really High Bar that is set to get into this company and mostly they consider PhD candidates with relevant research and experience.
Interview questions [1]
Question 1
Reinforcement Learning DDPG and Q learning question
1. Online assessment- includes basic ML fundamentals like assumptions of linear regression, random forests, etc
2. 3 technical rounds- problem solving (data science case study), ML round (discuss ML projects and ML deep dive based on specific hypothetical scenarios on how to approach a problem, coding round (DSA)
Interview questions [1]
Question 1
Trees, stack and queue questions, time series problem
Applied on Nov 4 and got the online assessment on Nov 6. I passed the assessment and got the email from recruiter on scheduling the interview rounds. I emailed the recruiter with a question, did not receive a response and instead got an email that the hiring needs have changed and they will not be moving forward. Weird.
Interview questions [1]
Question 1
Total 9 questions in assessment. ML/mcq questions and 1 leetcode medium.