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Glassbeam Interview
Questions

25 Questions and Answers by
| 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

Tell me about a time where you had to analyze a set of data and then make a recommendation.

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Glassbeam Interview Questions

  1. 1.

    Tell me about a time where you had to analyze a set of data and then make a recommendation.

      In the tech industry, you will often be looking at data, analyzing it, and making recommendations based on what you see. Glassbeam needs to hire those who can easily take on sets of data, large or small, and make educated recommendations based on what they see. You can talk about your attention to detail and sharp focus when it comes to data and analytics.

      Rachelle's Answer

      "When doing annual reviews with my clients, I analyze the past year's ROIs, trends, and overall data. I then make recommendations for improved efficiencies for the upcoming year. I will make recommendations based on resources and pricing, but also make suggestions on new ways in which we can be creative, like consolidating resources, to save cost when possible. I managed two of the most significant accounts in the office, so my recommendations were fundamental to our bottom line, and I'm happy to report that they were consistently adopted, resulting in more business."

      Rachelle's Answer

      "My current employer wanted to know the exact impact our social media campaigns were making. I gathered our Facebook, Instagram, and Twitter data for him and created a short PowerPoint presentation from the data. My recommendation was to increase our keywords in the geographical areas where our ads received the highest click-through rates. My research and recommendations certainly helped as our social reach grew exponentially in the following months."

  2. 2.

    Do you have experience with big data tools for machine learning such as Apache Spark?

      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.

      Rachelle's Answer

      "I have experience with Apache Spark, and consider myself an intermediate user in this particular tool. I also have about five years' experience with Caffe, which is a deep learning framework. Could you share with me the tools you use most often at Glassbeam?"

      Rachelle's Answer

      "I am newer to the industry but am somewhat familiar with a couple of Apache products including Spark, Mahout, and SINGA. I am interested in learning more about the tools you use for collecting and organizing big data. Which tools are most often used here at Glassbeam?"

  3. 3.

    How do you react when your team misses a deadline?

      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.

      Rachelle's Answer

      "My team is highly efficient, and we rarely miss a deadline. When we do, it's surprising. We had a very challenging client last year who made a significant amount of changes throughout the entire project and implementation. These changes caused us to miss our deadline. I took action after that to ensure a better client onboarding process. This new process made sure we dug deeper with each client at the start which has resulted in fewer mid-project changes. I would be happy to share this process with Glassbeam, should I be your successful candidate."

      Rachelle's Answer

      "Deadlines are reached as a team, and they are missed as a team. I truly believe that. When a deadline is missed, I look at how we could have moved better as a machine, to make the delivery happen on time. I do not react negatively to my team members, but I do use situations like this as learning and coaching opportunities. How does Glassbeam react with their leaders in the event of a missed deadline or target?"

  4. 4.

    Part of our business is in big data, which is continuously changing as new technology and products enter the market. How do you keep up-to-date on these changes?

      With the high level of competition in the data industry, companies are continuously introducing new products and services to remain relevant. Glassbeam would like to know that you will be proactive in educating yourself about the changes in the industry. Talk about resources you would use to remain informed to updates and changes in the data industry. Also, communicate that you understand the importance of remaining current on the continuously evolving industry.

      Rachelle's Answer

      "Keeping abreast of the changes in the data field is important if a company wants to remain competitive. Companies need to know what technology is offered in the industry, so they don't lose their clients to the competition. I remain informed through various online resources such as industry blogs, journals, and community forums. Also, conferences and seminars are also informative sources to learn about changes in the industry, and I do my best to attend these regularly when budgets allow. Also, it is important to ensure that knowledge is shared across departments within the company. I have found holding sessions such as 'Lunch and Learns' help with the internal knowledge sharing."

      Rachelle's Answer

      "Keeping informed of the technological advances of the data industry pushes companies to remain innovative themselves. I believe companies remain competitive by improving on the ideas of others. I remain informed through continuous communication with my network. Whether through email, online communities or social media, including LinkedIn and Twitter, I read articles from industry journals and information shared by my network. I believe it is important to be a part of an active network of professionals involved in data within their companies. Also, when my schedule allows, I attend networking events where I continually meet new industry professionals."

  5. 5.

    Tell me about the most rewarding experience you have had, working in a team environment. What made it so rewarding?

      Most of the projects you will work on for Glassbeam will have a teamwork component. Whether you are collaborating with an analytics team, the IT department, or sales and product development, you will be required to have well-honed teamwork skills. The interviewer wants to hear that you enjoy, and feel accomplished through teamwork. Talk about a time when you felt fulfilled through a team setting or project collaboration.

      An example may be a time when you worked on a team project in University, a recent data mine collaboration, or possibly the acquisition of a substantial new client. Discuss the results of the teamwork and how you attained a positive outcome as a group.

      Rachelle's Answer

      "The position I am currently in has been my first experience leading a team. We have knocked some seriously complicated projects out of the park, becoming the pacesetters for many technical product launches. It's been exciting to see everyone flourish and I am happy to see everyone succeed. It's encouraging and exhilarating."

      Rachelle's Answer

      "The most rewarding teamwork experience that I have had was in my last year of university. We had a project due, in teams of 4, which accounted for quite a large part of our grade. I believe everyone pulled more than their weight because so much was at stake. Teamwork is very rewarding when everyone has something significant to win, or lose."

  6. 6.

    Tell me about the most challenging aspect of your current job. How did you overcome it?

      Glassbeam wants to know that you will dig in harder, when things are difficult, rather than give up. Sometimes the most significant workplace challenge is a difficult task that puts you outside of your comfort zone. It could be something that requires skills you haven't mastered yet or qualities where you are not the strongest. Explain to the interviewer why it was difficult but be sure to spend more time highlighting the actions you took to overcome the challenge.

      Rachelle's Answer

      "The most challenging aspect of my current job was mastering the different data models used when I first started with them. Before joining, I did not have a lot of exposure to object-oriented database modeling or hierarchical database models, and they are used a great deal in the organization. To overcome this, I took the lead in my learning and referred to online resources and tutorials. I ended up becoming very well versed in both types of data models, and am now the go-to resource for our new hires."

      Rachelle's Answer

      "The most challenging aspect of my previous job was the constant need to pivot our attention when it came to trends in the machine learning industry since our product offering relied so heavily on ML. We would gain footing, and then the next greatest update would arrive. Rather than master it all, I started to focus on a few company leaders in the industry and followed some influencers highly knowledgeable in machine learning trends. This targeted focus allowed us to remain zeroed in on what was important."

  7. 7.

    Glassbeam fosters a collaborative working environment. When have you taken the time to teach an essential skill to a coworker?

      The interviewers at Glassbeam want to hear that you have experience teaching or mentoring your coworkers. You may have taught a new hire all of your department's standard processes. Perhaps you explained new concepts related to AI and data migration to a more junior employee. You may have mentored an employee who was struggling to meet a project deadline. All of these scenarios are great examples to draw on.

      Better yet, if you have personally seen someone struggling with workplace skills or knowledge, approached them, and offered to mentor them, it is a shining example of leadership! Whatever your scenario may be, tell the interviewer what you helped the person with, while highlighting the positive outcome of their skills improvement.

      Rachelle's Answer

      "Last week our company introduced a new module in our SAP system. I could see that our contracted HR assistant was having some troubles with the new module. I was familiar with it already, so I offered to help him learn the module. We spent his lunch hour for the next three days working on it. He perfected the module and our company was so impressed with his dedication to learning that they are now trying to find room to hire him on a full time, permanent basis."

      Rachelle's Answer

      "I'm proud to say that, even without any official management capacity, I often seize the opportunity to teach others at work. Not only have I helped contribute to the sales team's knowledge base of our software, but also I try to teach our clients on the added features of our software, at every opportunity. It's fun to share and teach others, especially since I am always seeking out learning opportunities for myself."

  8. 8.

    Do you think it is possible to be a good team member, yet disagree with the leader?

      In the software and technology industry, you may find a wide variance of opinion, based on peoples' experiences, education, and professional preferences. The interviewer wants to know that you can be diplomatic in the workplace, even when you may not agree with your leader.

      Show the interviewer that it is possible for you to be a good team member, yet disagree with the leader from time to time. Explain that you believe everyone is entitled to their own professional opinion, yet capable of maintaining respect for each other at the same time. Show that even if you disagree with the final decision they make, you support the direction the team is heading.

      Rachelle's Answer

      "Yes, I think it is possible! What makes a great team member is not that they agree with everything but the level of respect and positive thought that goes into the person's communication style. It's okay to disagree; however, you have to communicate your thoughts professionally."

      Rachelle's Answer

      "Yes, I do believe it is possible to be a good team member, yet disagree with the leader. I have disagreed with decisions my boss has made in the past, but generally, I keep my thoughts to myself, and I know they are the leader for a reason and likely have considered factors, beyond my understanding, for their choices."

  9. 9.

    What are the three types of Machine Learning algorithms?

      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
      - SVM
      - Naive Bayes
      - kNN
      - K-Means
      - Random Forest

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

      Rachelle's Answer

      "I am aware that there are three main types of machine learning algorithms, and am most familiar with Reinforcement Learning, and the Markov Decision Process. This method is where the machine is exposed to an environment where it then is trained to make specific decisions, using trial and error. The findings can then be used to make accurate business decisions."

      Rachelle's Answer

      "K-means is the algorithm which I am most familiar, and it falls under the Unsupervised Learning category. From what I know, it is frequently used for clustering information across a variety of groups."

  10. 10.

    Do you have experience giving product demonstrations, and closing new accounts?

      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.

      Rachelle's Answer

      "In my current role, I give a product demonstration a few times a month. Although it is not my primary job function; I know our applications and software inside and out, so that I can jump in and help anytime. I am comfortable giving presentations and can explain challenging tech to people with little technical experience easily."

      Rachelle's Answer

      "In my current role, I give product demonstrations to potential new clients, a few times a week. Once our sales team has primed the client to buy, it's my job to show off the product features, overcome any tech related objections, and then close the deal."

  11. 11.

    Have you ever worked in a cross-functional environment?

      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.

      Rachelle's Answer

      "I have worked in a cross-functional setting for many years. Primarily with the digital security department and the engineering department. Clear communication is key when collaborating with different teams. Clarity in expectations is of huge importance."

      Rachelle's Answer

      "When I worked for a larger mobile applications agency, we collaborated across departments all the time. We had the C-suite of Marketing and Operations, then the Content and Communications department, Creative Services, and also Consumer Insights. We would meet on a weekly basis to discuss larger projects and then collaborate through the week as needed. It was a great set-up and ensured smooth progress at all project stages."

  12. 12.

    Walk me through your experience in databases, predictive modeling, and business intelligence. In which of these areas are you best versed?

      Depending on the role you are targeting with Glassbeam, be prepared to discuss your specialty. Ideally, you will have experience in more than one area. Discuss which fields of data analysis you bring the most experience. Remember, this question is an opportunity for you to convince the interviewer that hiring you would be the best choice. Show confidence!

      Rachelle's Answer

      "Of all three categories, I am most experienced in business intelligence; although I do have a full understanding of predictive modeling also. My specialty is in BI which drew me to your job posting, requesting this type of focus. I have eight years' experience as a BI specialist, training others in the field, and working in a client-facing role for the bulk of those years."

      Rachelle's Answer

      "Hands down, predictive modeling is my specialty. I was excited to see that Glassbeam was seeking someone with expertise in this area. I am passionate when it comes to using statistics to predict outcomes, and I especially enjoy teaching my clients how to analyze data for this purpose."

  13. 13.

    How does data drive a business' success?

      Data-driven decision making is becoming a more significant topic every year. Companies can leverage data analytics to determine:

      - Productivity
      - Competitive analysis
      - How, when, and where products are used
      - Customer demographics
      - Pattern analysis
      - Business growth

      Talk to the interviewer about the ways that you feel companies can best use data to drive the success of their business.

      Rachelle's Answer

      "When I take a hard look at the many uses of data, I see that data can be collected in a plethora of ways to determine the success of a new product launch, competitive analysis, or patterns that occur, which may not be seen by the human eye. In my career, I have the most experience using data to help drive employee productivity and onboarding solutions which can save a company thousands of dollars."

      Rachelle's Answer

      "Data can drive every aspect of a business' success if approached and utilized correctly. In my experience, I have seen that companies underutilize what a full data analysis approach can do for them. Analytics programs should be set up for marketing, sales, employee productivity, product efficiency, competitive analysis and more."

  14. 14.

    In which ways do social media companies use machine learning?

      A variety of industries uses machine learning, and social media has jumped on the trend as well. The interviewer wants to see that you understand the depth of ways that machine learning can be applied. Discuss how you believe social media companies use machine learning to advance their businesses and features.

      Rachelle's Answer

      "Social media companies, such as Facebook and Instagram have billions of users, and are very smart to harness the power of machine learning. From what I have seen so far, Facebook uses ML for things like news feed suggestions, and friend tagging features. I have seen ML in action on Instagram by friend recommendations as well. With companies like Twitter, machine learning is used for personalized news feeds."

      Rachelle's Answer

      "Often, as social platform users, we are unaware of the ways that social media companies track our information to make personalized suggestions. From my understanding, companies like Facebook, Instagram, and Twitter use machine learning for features such as friend tagging, news feed suggestions, and targeted advertising. ML has undoubtedly changed the social platform in a big way."

  15. 15.

    How would you explain SSL Encryption to someone who does not have a background in tech?

      The interviewer would like to see that you can easily describe SSL Encryption. The better you understand the concept, the more easily you will be able to explain it to someone else. Keep your reply straightforward.

      Rachelle's Answer

      "SSL is short for Secure Sockets Layer. Most websites should have an SSL Certificate, which adds an encryption link between a web server and a browser, allowing for a more secure connection for website visitors. It's a fundamental step that prevents a lot of hacking, identity theft, and other data security issues."

      Rachelle's Answer

      "When someone is not familiar with the concept of SSL Encryption, I tell them to look at the URL of the website they are visiting. If the URL starts with 'https' instead of 'http,' it means the site is secured using an SSL Certificate. The added 's' is a good thing, as it means your data is secure."

  16. 16.

    How would you explain machine learning to someone who does not know the industry?

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  17. 17.

    What is pervasive business intelligence, and what does it mean to you?

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  18. 18.

    In your opinion, what has been the most exciting development in Machine Learning this year?

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  19. 19.

    What do you know about Glassbeam's competitive position within the data analytics industry?

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  20. 20.

    In your opinion, what is the most exciting collaboration between data analysis and artificial intelligence in the past year?

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  21. 21.

    Great data visualization will present data in a convincing way. How do you improve human perception when presenting data?

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  22. 22.

    What is your approach to working with a large amount of information/data?

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  23. 23.

    How could a business use the data visualization services of Glassbeam to prospect and generate new leads?

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  24. 24.

    Explain data visualization, and why it is important to a business.

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  25. 25.

    Tell me about a time you took charge of a project. Discuss one positive and one negative outcome from the experience.

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