Fairly good workload and opportunities
Fairly good workload and opportunities
Good work culture and team culture.
Not many opportunities in product Data Science.
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Hewlett Packard Enterprise Interview Questions
Hewlett Packard Enterprise Interview Experiences
Data Engineer
Fast, agile, and calm. Interviewer prepared and with technical knowledge about the candidate's area of expertise. When asked about the next steps in the process, they were extremely clear.
Data Engineer
Very poor experience. I did not receive any communication after the final round of interview. I tried contacting them through various platforms: emails, calls, WhatsApp, and even SMS, but they did not respond.
Data Engineer
So much Python. Basic interview questions, but also NumPy array skills required, knowledge of basic machine learning algorithm trade-offs (bias vs. variance). Prepare to write from the command line, not a Jupyter Notebook. That was my experience, any
Data Engineer
BrazilJanuary 1, 2023Fast, agile, and calm. Interviewer prepared and with technical knowledge about the candidate's area of expertise. When asked about the next steps in the process, they were extremely clear.
Data Engineer
IndiaJanuary 17, 2022Very poor experience. I did not receive any communication after the final round of interview. I tried contacting them through various platforms: emails, calls, WhatsApp, and even SMS, but they did not respond.
Data Engineer
San Diego, California, United StatesJanuary 1, 2018So much Python. Basic interview questions, but also NumPy array skills required, knowledge of basic machine learning algorithm trade-offs (bias vs. variance). Prepare to write from the command line, not a Jupyter Notebook. That was my experience, any
