Glassdoor users rated their interview experience at Daybreak as 25% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Software Engineer and Data Engineer rated their interviews as the hardest, whereas interviews for Marketing Operations Manager and Data Engineer roles were rated as the easiest.
The hiring process at Daybreak takes an average of 38 days when considering 8 user submitted interviews across all job titles. To compare, the average duration of hiring at similar companies like BlackRock, Inc. is 14 days, Fabricated Software, Inc. is 2 days, and Apple Inc. is 21 days. Candidates applying for Data Engineer had the quickest hiring process (on average 7 days), whereas Senior Data Scientist roles had the slowest hiring process (on average 120 days).
Lots of culture questions, discussions of my history and experience with customers in a data science role. Definitely felt like finding my new family. Every interview was energizing and felt like I was figuring out how my skills could help shape the company.
I applied through other source. The process took 2 weeks. I interviewed at Daybreak in Feb 2025
Interview
I had a seamless experience with Daybreak’s interview process. It was easy to navigate and extremely well-structured. The HR team was particularly helpful, providing prompt and clear communication at every stage. The entire process was fast and efficient, with expectations clearly set right from the beginning. I genuinely appreciated the transparency and professionalism throughout—overall, a great candidate experience.
Interview questions [1]
Question 1
Situation based questions on how to manage stakeholders, prioritize product requirements, gather reqs from services team, managing the the entire PDLC, etc. Domain knowledge for a few topics.
I applied online. The process took 3 weeks. I interviewed at Daybreak in Apr 2025
Interview
The Interview comprises of 4 rounds.
1. Exploratory Call
2. Technical Round1
3. Technical Round2
4. Culture Fit Round
Technical round 1 had python hands on and projects discussion.
Technical round 2 was overall data science and forecasting situation based discussion.
Interview questions [1]
Question 1
1. Your go to forecasting model, its backend mathematical intuitions and drawbacks and how can we improve it.