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Glassbeam Interview

25 Questions and Answers Written by Rachelle Enns

Written on December 6th, 2018 | Rachelle is a job search expert, career coach, and headhunter
who helps everyone from students to fortune executives find success in their career.
Question 1 of 25
How do you react when your team misses a deadline?
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How to Answer
Missed deadlines can be critical mistakes in the software and tech industry, and can reflect poorly on you, as a leader. The interviewer would like to understand better how you react to disappointment and plans not going your way. Give an example of a time when your team missed a deadline and walk the interviewer through the action that you took. Your response will help Glassbeam to better understand if your approach is the right fit for their team.

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Question 2 of 25
Do you have experience giving product demonstrations, and closing new accounts?
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How to Answer
Working in data visualization, you may be required to walk clients through the ins and outs of their data, helping them to understand how to decipher the data and then use it to their benefit. Working for a company that offers a data visualization solution means that you will be tech savvy and able to teach others how to use Glassbeam products correctly. Walk the interviewer through any experience you have giving demonstrations, and working with potential new clients.

Question 3 of 25
Do you have experience with big data tools for machine learning such as Apache Spark?
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How to Answer
Apache Spark is an analytics engine for big data processing. The interviewer is interested in learning more about your exposure to tools for machine learning. Talk about the tools and systems in which you bring experience. If you are aware of the tools used at Glassbeam, then focus on your exposure to those. If you are unsure of the tools that Glassbeam uses, you can take this time to ask.

Question 4 of 25
What are the three types of Machine Learning algorithms?
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How to Answer
Show the interviewer that you know the basics of machine learning, and its algorithms. There are three primary categories of machine learning algorithms:

- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning

Within these three, there are subtypes of algorithms which include:

- Linear Regression
- Logistic Regression
- Decision Tree
- Naive Bayes
- kNN
- K-Means
- Random Forest

Discuss with the interviewer the types of machine learning algorithms you are familiar with.

Question 5 of 25
Have you ever worked in a cross-functional environment?
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How to Answer
If you work for a larger company, you may have been asked to work on a project with teams from another department. Your ability to work with cross-functional teams will be a significant asset to your potential employer, especially if they are a larger organization.

Maybe you headed a project which required you to collaborate with the members of the engineering and sales teams. You may have had the opportunity to organize a volunteer activity or team building exercise, company-wide. Share any challenges that came up and what you learned from the experience.

Questions 6 through 25
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Writers for Glassbeam, Inc. Answers and Questions

Rachelle Enns
Rachelle Enns is a job search expert, executive headhunter, career catalyst, and interview coach. Utilized by top talent from Fortune companies like Microsoft, General Electric, and Nestle, she helps professionals position themselves in today's competitive digital marketplace. Rachelle founded Renovate My Resume and Executive Resume Solutions, two companies focused on helping job seekers get their edge back. She helps everyone from new graduates looking for their first placement, to CEO's who want more out of their career. Rachelle coaches students to executives on how to master the toughest interview questions and how to handle the most bizarre interview situations; all with confidence and poise. Rachelle trains other career coaches, recruiters, and resume writers, globally. A big part of her job is also spent coaching HR professionals on how to bring the human touch back into their interview and hiring process.
Helen Lee
Helen Lee is a freelance data analyst and writer with over 15 years of experience in the Marketing field working for companies and clients in a variety of industries including financial services, quick service restaurant (QSR), consumer packaged goods (CPG) and education technology. She has experience managing marketing research projects, conducting strategic analyses and writing and editing a variety of pieces including marketing material, blog entries and user guides.
Published: 12/06/2018

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